This article explains the most common Telegram frauds and provides practical steps to stay safe on the platform.

What Makes Telegram Attractive to Scammers?

• Anonymity: Users can create accounts without revealing personal information.

• Large Groups & Channels: Fraudsters easily target thousands at once.

• End-to-End Encryption (E2EE) in Secret Chats: Makes tracing difficult.

• Bot Support: Scammers automate phishing attempts.

• File Sharing Flexibility: Easy sharing of malicious files, fake apps, or documents.

Because of these factors, Telegram has become a hub for online fraud—not just in India but worldwide.

Common Telegram Frauds You Should Know

1. Fake Investment & Trading Scams

Scammers run channels promising:

• Huge returns from crypto

• Stock market tips

• Forex trading

• Gold investment schemes
  They often share manipulated screenshots showing “profits” to attract victims.

Goal: Convince you to transfer money to their wallet or account. Once you pay, they disappear.

2. Job Offer & Work-From-Home Scams

Fraudsters pose as HR representatives offering:

• Data entry jobs

• Telegram channel promotion jobs

• Simple “like/comment” or “review submission” tasks

Initially, they pay small amounts to gain trust. Later, they demand “security deposits” or “task unlock fees” — and vanish after receiving the money.

3. OTP, Identity & Account Takeover Fraud

Scammers send messages such as:

“You have won a prize. Send your OTP for verification.”

or pretend to be a friend saying:

“My SIM stopped working. Share the OTP I sent to your number.”

Sharing an OTP allows them to take over your Telegram or linked accounts.

4. Impersonation Scams

Fraudsters clone profiles of:

• Celebrities

• Influencers

• Government officials

• Known brands

They run fake giveaways or donation campaigns to steal money.

5. Online Marketplace & Buying/Selling Fraud

Through Telegram groups, scammers sell:

• Mobile phones

• Laptops

• Jobs

• Event tickets

• Luxury goods
  usually at suspiciously low prices.

Once money is transferred, no product is delivered.

6. Subscription & Premium Bot Scams

Fake bots offer:

• Netflix / Spotify subscriptions

• Cheap flight tickets

• Free mobile recharge

• Bonus coupons

These are phishing bots meant to steal payment information or personal data.

7. Malware & File-Sharing Scams

Fraudsters send:

• APK files

• PDFs

• Software installers

These files contain malware to steal passwords or gain remote access to your device.

8. Crypto Wallet & Airdrop Scams

Fake crypto airdrops and wallet recovery tools are common. Clicking on malicious links can drain your cryptocurrency wallet.

How to Stay Safe from Telegram Frauds

1. Do Not Trust Unknown Contacts

If someone messages you unexpectedly:

• Do not click links

• Do not share personal information

• Do not respond to suspicious offers

Verify before engaging.

2. Never Share OTPs or Passwords

No legitimate organization will ever ask for:

• OTPs

• Passwords

• CVV

• PIN

If someone requests these, it is a clear scam.

3. Double-Check Profiles and Channels

Look for:

• Verified blue tick (if applicable)

• Number of subscribers

• Official website linked

• Past posts and credibility

Impersonation is extremely common on Telegram.

4. Avoid Paying Advance Fees

Whether it’s:

• Jobs

• Investment platforms

• Marketplace sellers

• Service providers
  NEVER pay before verifying authenticity.

“Advance fee” = guaranteed scam.

5. Don’t Download APKs or Unknown Files

Only install apps from:

• Google Play Store

• Apple App Store

Malicious Telegram files can compromise your phone within seconds.

6. Enable Telegram Security Features

Turn on:

• Two-Step Verification (Settings → Privacy and Security)

• Session Management to see active logins

• Passcode Lock

This protects you from account takeovers.

7. Verify Financial Information Outside Telegram

If someone claims to be from:

• A company

• A bank

• A government agency

Check their identity through:

• Official website

• Customer care

• Verified email

Never rely solely on Telegram messages.

8. Do Not Share Personal Data

Avoid sending:

• Aadhaar/PAN

• Bank details

• Job documents

• Selfies with ID

Fraudsters may use them for SIM swap, identity theft, or illegal loans.

9. Beware of “Too Good to Be True” Offers

If the offer is:

• Extremely profitable

• Completely risk-free

• Urgently time-bound
  …it is almost always a scam.

10. Report and Block Fraudsters

You can report scammers to:

• Telegram’s built-in Report option

• Cyber Crime Portal (https://cybercrime.gov.in)

• Local police or cyber cell

Reporting helps prevent others from becoming victims.

Conclusion

While Telegram offers excellent features for communication, it is also heavily exploited by cybercriminals. Whether it’s fake investments, job scams, identity theft, or bot-based frauds, scammers are becoming more sophisticated every day.

Staying safe requires:

• Awareness

• Caution

• Verification

• Proper digital security practices

Always remember: If something feels suspicious or too good to be true, it probably is. Protect your personal data, avoid unverified channels, and trust only legitimate sources.

To protect yourself, understanding how these scams work is the first step.

Common Types of Unknown Call Scams

1. Impersonation Scams

Fraudsters pretend to be officials from banks, telecom companies, courier services, government agencies, or even law enforcement.
Examples:

• “Your bank account is at risk. Please share your OTP immediately.”

• “Your KYC has expired. Click this link to update now.”

2. Prize and Lottery Scams

You receive a call claiming you’ve won a prize, car, or lottery—even if you never participated.
Red flag: You are asked to pay ‘processing fees’ or ‘taxes’ to receive the prize.

3. Fake Courier and Delivery Scams

You may receive calls saying:

• A package from overseas contains illegal items.

• Customs needs your verification details.
  These scams scare users into sharing ID proofs or paying fake penalty fees.

4. Job Offer Scams

Scammers pose as HR representatives of reputed companies and ask:

• “Registration fees”

• “Training fees”

• “Background verification fees”

Once the payment is made, they vanish.

5. Loan/Insurance Scam Calls

Fraudsters offer “instant loans” or “low-cost insurance” and ask for:

• Aadhaar details

• PAN numbers

• Bank details

• App installation (spyware)

How Scammers Trick Victims

1. Urgency and Fear

They will create panic or urgency:

• “Your account will be blocked.”

• “Police complaint has been filed.”

This rushes people into making mistakes.

2. Spoofed Caller IDs

They use tools to display fake numbers:

• Bank helplines

• Government offices

• Local police stations

3. Social Engineering

They gather basic info (name, city, mobile number) from leaked databases or social media, making the call seem legitimate.

4. Emotional Manipulation

Fraudsters pretend to be relatives in distress, often demanding immediate money transfers.

Common Signs of a Scam Call

• Unknown or international numbers you never interacted with.

• Pretending to be officials but sounding unprofessional.

• Requesting sensitive details such as OTPs, CVV, passwords, PINs.

• Demanding immediate payment.

• Asking you to install remote-access apps (AnyDesk, TeamViewer).

• Threatening legal action.

• Offering deals that sound too good to be true.

How to Stay Safe from Unknown Call Frauds

1. Never Share Personal or Banking Information

Banks, government agencies, or legitimate companies will never ask for:

• OTP

• ATM PIN

• CVV

• Full card number

• UPI PIN

If someone asks for these, it is a scam.

2. Don’t Click Links Sent by Unknown Callers

Suspicious links may install malware or lead to phishing websites.

3. Use Call Blocking and Spam Detection Apps

Apps like:

• Truecaller

• Built-in phone spam filters

Help identify and block known scam numbers.

4. Enable DND (Do Not Disturb) on Your Mobile

This reduces unsolicited commercial calls.

5. Verify Before Acting

If you get a call claiming to be from your bank or courier:

• Disconnect the call.

• Call the official number from the bank’s website or official app.

• Confirm if the call was real.

Never call back on numbers provided by the caller.

6. Avoid Installing Remote Access Apps

Scammers often ask you to install apps that let them control your device screen.

7. Keep Your Social Media Privacy Settings Strict

Fraudsters study your public info and use it to personalize scams.

8. Report Scam Calls

You can report suspicious calls to:

• 1930 (National cybercrime helpline – India)

• cybercrime.gov.in

Quick reporting can stop further losses.

9. Educate Family Members

Especially:

• Senior citizens

• Young students

• Domestic helpers

They are often targets of fraudsters.

What to Do If You Fall Victim

If you mistakenly shared information or transferred money:

1. Act Immediately

• Block your bank cards

• Change account passwords

• Disable UPI temporarily

2. Call Your Bank Helpline

Inform them about unauthorized activity.

3. File a Cybercrime Complaint

Call 1930 or visit cybercrime.gov.in
Early reporting increases the chance of recovering funds.

4. Note Down All Details

• Caller number

• Call time

• Any payment detail

• Screenshots (if applicable)

Conclusion

Unknown call scams are evolving and becoming more sophisticated with each passing day. The best defense is awareness, skepticism towards unsolicited calls, and strict control over personal and financial information. Always remember:
If something feels suspicious, hang up immediately.

By staying vigilant and spreading awareness, you can protect yourself and others from becoming victims of phone-based fraud.

New Delhi, November 7, 2025 – Tenable, the exposure management company, discovered seven vulnerabilities and attack techniques during testing of OpenAI’s ChatGPT-4o, several of which were later found to persist in ChatGPT-5. Collectively known as HackedGPT, these flaws expose users to privacy risks by bypassing built-in safety mechanisms. While OpenAI has remediated some of the issues identified, others had not been addressed at the time of publication, leaving certain exposure paths open. If exploited, they could allow attackers to secretly steal personal data, including stored chats and memories.

The vulnerabilities reveal a new class of AI attack called indirect prompt injection, where hidden instructions in external websites or comments can trick the model into performing unauthorised actions. These flaws affect ChatGPT’s web browsing and memory features, which process live internet data and store user information, creating opportunities for manipulation and data exposure.

Tenable researchers show that these attacks can occur silently in two ways: “0-click” attacks, where simply asking ChatGPT a question triggers the compromise, and “1-click” attacks, where clicking a malicious link activates hidden commands. Even more concerning is a technique called Persistent Memory Injection, where harmful instructions are saved in ChatGPT’s long-term memory and remain active after the user closes the app. This lets attackers plant lasting threats that can expose private information across future sessions until removed. Together, these flaws show how attackers could bypass OpenAI’s safeguards and access users’ private histories.

“HackedGPT exposes a fundamental weakness in how large language models judge what information to trust,” said Moshe Bernstein, Senior Research Engineer at Tenable. “Individually, these flaws seem small — but together they form a complete attack chain, from injection and evasion to data theft and persistence. It shows that AI systems aren’t just potential targets; they can be turned into attack tools that silently harvest information from everyday chats or browsing.”

HackedGPT: the seven vulnerabilities and attack techniques identified by Tenable research

1. Indirect prompt injection via trusted sites
   Attackers hide commands inside legitimate-looking online content such as blog comments or public posts. When ChatGPT browses that content, it unknowingly follows those hidden instructions. In short, ChatGPT can be tricked into doing what an attacker tells it to, just by reading a compromised page.

2. 0-click indirect prompt injection in search context
   A user doesn’t have to click or do anything special to be exposed. When ChatGPT searches the web for answers, it can encounter a page with hidden malicious code. Simply asking a question could cause the model to follow those instructions and leak private data — what researchers call a single-prompt compromise.

3. Prompt injection via 1-click

   1. A single click can trigger an attack. Hidden commands embedded in seemingly harmless links, like https://chatgpt.com/?q={Prompt}, can make ChatGPT execute malicious actions without realising it. One click is enough to let an attacker take control of your chat.

4. Safety mechanism bypass

   1. ChatGPT normally validates links and blocks unsafe sites. Attackers bypass that by using trusted wrapper URLs (for example, Bing’s bing.com/ck/a?...) which hide the real destination. ChatGPT trusts the wrapper, displays the apparently safe link, and can be led to a malicious site.

5. Conversation injection
   ChatGPT uses two systems — SearchGPT for browsing and ChatGPT for conversation. Attackers can use SearchGPT to insert hidden instructions that ChatGPT later reads as part of the conversation. In effect, the AI ends up “prompt-injecting itself,” following commands the user never wrote.

6. Malicious content hiding
   A formatting bug allows attackers to conceal malicious instructions inside code or markdown text. The user sees a clean message, but ChatGPT still reads and executes the hidden content.

7. Persistent memory injection
   ChatGPT’s memory feature stores past interactions. Attackers can plant malicious instructions in that long-term memory, causing the model to repeat those commands across sessions and continuously leak private data until the memory is cleared.

Potential impact of exploiting HackedGPT

Hundreds of millions of people use ChatGPT daily for business, research, and personal communication. If exploited, these flaws could:

• Insert hidden commands into conversations or long-term memories.

• Steal sensitive data from chat histories or connected services such as Google Drive or Gmail.

• Exfiltrate information through browsing and web integrations.

• Manipulate responses to spread misinformation or influence users.

Tenable Research conducted its investigation under responsible disclosure practices. OpenAI has remediated some of the vulnerabilities identified, but several remain active in ChatGPT-5 or had not been addressed at the time of publication, leaving certain exposure paths open.

Tenable advises AI vendors to harden defences against prompt injection by verifying that safety mechanisms such as url_safe work as intended and by isolating browsing, search, and memory features to prevent cross-context attacks.

Recommendations for security teams

Tenable advises security professionals to:

• Treat AI tools as live attack surfaces, not passive assistants.

• Audit and monitor AI integrations for manipulation or data leakage.

• Investigate unusual requests or outputs that could signal prompt injection.

• Test and reinforce defences against injection and exfiltration paths.

• Establish governance and data-classification controls for AI use.

“This research isn’t just about exposing flaws — it’s about changing how we secure AI,” Bernstein added. “People and organisations alike need to assume that AI tools can be manipulated and design controls accordingly. That means governance, data safeguards, and continuous testing to make sure these systems work for us, not against us.”

Read the full research here.

Source: MIT News

The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate.

Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code that’s messy, hard to change safely, and often opaque about what’s really happening under the hood. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are charting a more “modular” path ahead.

Their new approach breaks systems into “concepts,” separate pieces of a system, each designed to do one job well, and “synchronizations,” explicit rules that describe exactly how those pieces fit together. The result is software that’s more modular, transparent, and easier to understand. A small domain-specific language (DSL) makes it possible to express synchronizations simply, in a form that LLMs can reliably generate. In a real-world case study, the team showed how this method can bring together features that would otherwise be scattered across multiple services.

The team, including Daniel Jackson, an MIT professor of electrical engineering and computer science (EECS) and CSAIL associate director, and Eagon Meng, an EECS PhD student, CSAIL affiliate, and designer of the new synchronization DSL, explore this approach in their paper “What You See Is What It Does: A Structural Pattern for Legible Software,” which they presented at the Splash Conference in Singapore in October. The challenge, they explain, is that in most modern systems, a single feature is never fully self-contained. Adding a “share” button to a social platform like Instagram, for example, doesn’t live in just one service. Its functionality is split across code that handles posting, notification, authenticating users, and more. All these pieces, despite being scattered across the code, must be carefully aligned, and any change risks unintended side effects elsewhere.

Jackson calls this “feature fragmentation,” a central obstacle to software reliability. “The way we build software today, the functionality is not localized. You want to understand how ‘sharing’ works, but you have to hunt for it in three or four different places, and when you find it, the connections are buried in low-level code,” says Jackson.

Concepts and synchronizations are meant to tackle this problem. A concept bundles up a single, coherent piece of functionality, like sharing, liking, or following, along with its state and the actions it can take. Synchronizations, on the other hand, describe at a higher level how those concepts interact. Rather than writing messy low-level integration code, developers can use a small domain-specific language to spell out these connections directly. In this DSL, the rules are simple and clear: one concept’s action can trigger another, so that a change in one piece of state can be kept in sync with another.

“Think of concepts as modules that are completely clean and independent. Synchronizations then act like contracts — they say exactly how concepts are supposed to interact. That’s powerful because it makes the system both easier for humans to understand and easier for tools like LLMs to generate correctly,” says Jackson. “Why can’t we read code like a book? We believe that software should be legible and written in terms of our understanding: our hope is that concepts map to familiar phenomena, and synchronizations represent our intuition about what happens when they come together,” says Meng.

The benefits extend beyond clarity. Because synchronizations are explicit and declarative, they can be analyzed, verified, and of course generated by an LLM. This opens the door to safer, more automated software development, where AI assistants can propose new features without introducing hidden side effects.

In their case study, the researchers assigned features like liking, commenting, and sharing each to a single concept — like a microservices architecture, but more modular. Without this pattern, these features were spread across many services, making them hard to locate and test. Using the concepts-and-synchronizations approach, each feature became centralized and legible, while the synchronizations spelled out exactly how the concepts interacted.

The study also showed how synchronizations can factor out common concerns like error handling, response formatting, or persistent storage. Instead of embedding these details in every service, synchronization can handle them once, ensuring consistency across the system.

More advanced directions are also possible. Synchronizations could coordinate distributed systems, keeping replicas on different servers in step, or allow shared databases to interact cleanly. Weakening synchronization semantics could enable eventual consistency while still preserving clarity at the architectural level.

Jackson sees potential for a broader cultural shift in software development. One idea is the creation of “concept catalogs,” shared libraries of well-tested, domain-specific concepts. Application development could then become less about stitching code together from scratch and more about selecting the right concepts and writing the synchronizations between them. “Concepts could become a new kind of high-level programming language, with synchronizations as the programs written in that language.”

“It’s a way of making the connections in software visible,” says Jackson. “Today, we hide those connections in code. But if you can see them explicitly, you can reason about the software at a much higher level. You still have to deal with the inherent complexity of features interacting. But now it’s out in the open, not scattered and obscured.”

“Building software for human use on abstractions from underlying computing machines has burdened the world with software that is all too often costly, frustrating, even dangerous, to understand and use,” says University of Virginia Associate Professor Kevin Sullivan, who wasn’t involved in the research. “The impacts (such as in health care) have been devastating. Meng and Jackson flip the script and insist on building interactive software on abstractions from human understanding, which they call ‘concepts.’ They combine expressive mathematical logic and natural language to specify such purposeful abstractions, providing a basis for verifying their meanings, composing them into systems, and refining them into programs fit for human use. It’s a new and important direction in the theory and practice of software design that bears watching.”

“It’s been clear for many years that we need better ways to describe and specify what we want software to do,” adds Thomas Ball, Lancaster University honorary professor and University of Washington affiliate faculty, who also wasn’t involved in the research. “LLMs’ ability to generate code has only added fuel to the specification fire. Meng and Jackson’s work on concept design provides a promising way to describe what we want from software in a modular manner. Their concepts and specifications are well-suited to be paired with LLMs to achieve the designer’s intent.”

Looking ahead, the researchers hope their work can influence how both industry and academia think about software architecture in the age of AI. “If software is to become more trustworthy, we need ways of writing it that make its intentions transparent,” says Jackson. “Concepts and synchronizations are one step toward that goal.”

This work was partially funded by the Machine Learning Applications (MLA) Initiative of CSAIL Alliances. At the time of funding, the initiative board was British Telecom, Cisco, and Ernst and Young.

1. Keep Your Software Up to Date

Regularly updating your smartphone’s operating system (Android or iOS) and apps is one of the most effective ways to protect your device.

Why it matters:

• Updates often fix security vulnerabilities that hackers exploit.

• They improve system performance and patch bugs.

Tip:
Enable automatic updates in your phone settings, or check for updates weekly to ensure you’re running the latest versions.

2. Use Strong Screen Locks

Your phone likely contains sensitive personal information — photos, banking apps, and passwords. A weak or absent screen lock makes it an easy target.

Best practices:

• Use PINs with 6 or more digits, or better, a strong alphanumeric password.

• Enable biometric locks like fingerprint or facial recognition for faster, secure access.

• Set auto-lock to activate within 30 seconds of inactivity.

3. Be Cautious with Public Wi-Fi

Free Wi-Fi in cafes or airports is convenient but often insecure. Hackers can intercept data transmitted over open networks.

How to stay safe:

• Avoid accessing banking, payment, or email accounts on public Wi-Fi.

• Use a VPN (Virtual Private Network) to encrypt your data.

• Turn off auto-connect to open networks in your Wi-Fi settings.

4. Download Apps Only from Trusted Sources

Malicious apps can steal your personal data, track your activity, or infect your phone with malware.

Safe downloading tips:

• Stick to official app stores like Google Play or Apple App Store.

• Check developer names, app reviews, and download counts before installing.

• Be cautious of apps requesting unnecessary permissions (e.g., a calculator asking for camera access).

5. Enable Two-Factor Authentication (2FA)

Even strong passwords can be compromised. 2FA adds an extra layer of protection by requiring a second step to verify your identity.

Where to use it:

• Enable 2FA on key accounts such as Google, Apple ID, social media, and banking apps.

• Use authentication apps (like Google Authenticator or Authy) instead of SMS when possible, as SMS codes can be intercepted.

6. Backup Your Data Regularly

Data loss can occur due to theft, hardware failure, or accidental deletion. Regular backups ensure your files are safe.

Backup options:

• Use cloud services (Google Drive, iCloud, OneDrive) for automatic backups.

• Store an offline copy on an external hard drive or computer periodically.

• Verify that your backup system is working properly every few weeks.

7. Manage App Permissions

Many apps request access to your contacts, location, or microphone — even when they don’t need it.

How to control permissions:

• Go to Settings → Privacy → App Permissions (varies by OS).

• Disable unnecessary permissions, especially for camera, location, and microphone.

• Recheck permissions after major app updates.

8. Be Alert to Phishing and Scams

Cybercriminals often trick users with fake messages or links to steal login details or install malware.

Stay vigilant:

• Don’t click links or open attachments in suspicious emails or text messages.

• Check the sender’s email address or phone number carefully.

• Use spam filters and report fraudulent messages to your carrier or email provider.

9. Protect Your Physical Device

Digital security means little if your phone is lost or stolen.

Physical safety measures:

• Enable Find My Device (Android) or Find My iPhone (iOS) to locate or erase your phone remotely.

• Keep your phone in a secure pocket or bag in crowded areas.

• Avoid leaving your device unattended in public or visible in your car.

10. Be Mindful of Screen Time and Health

Smartphone safety isn’t just about digital threats — overuse can impact your physical and mental well-being.

Healthy usage habits:

• Use screen time management tools to monitor and limit daily use.

• Maintain good posture and take breaks to prevent eye strain.

• Avoid using your phone while walking or driving — distraction can lead to accidents.

Final Thoughts

Your smartphone is a powerful tool — but like any tool, it must be used responsibly. Following these ten safety tips will help you protect your personal information, avoid cyber threats, and maintain a healthier relationship with technology.

Remember: Smart usage = Safe usage.

1) The threat landscape — types of harm deepfakes cause

• Political disinformation & social unrest: Fabricated audio/video can falsely show politicians or public figures saying or doing things that never happened — amplifying division and eroding trust. Governments and security agencies warn foreign adversaries could weaponize this technology.

• Financial fraud (CEO / executive scams): Attackers clone an executive’s voice or create a realistic video call to instruct finance staff to wire money or disclose sensitive data. These scams have caused large losses for companies.

• Personal reputational harm & extortion: Non-consensual explicit deepfake images/videos are used to harass or blackmail victims.

• Credential attacks & identity theft: Synthetic audio or video used in interviews, onboarding, or biometric spoofing can help criminals bypass controls.

• Misinformation at scale: Automated synthetic media can flood social platforms, making it harder for people to tell true from false and undermining democratic processes.

2) Why detection is hard (short technical primer)

Modern deepfakes are produced by advanced deep learning (GANs, diffusion models, transformer-based multimodal systems). They can fix early giveaways (weird blinking, mismatched lip motion) and can now mimic micro-expressions, voice timbre, and background noise patterns. Detection keeps improving — researchers use physiological signals (subtle blood-flow changes visible in pixels), metadata forensics, and multi-model ensembles — but detection tools are imperfect and often fail when attacks are tuned to evade them. In short: defenders are improving, but attackers advance quickly too.

3) How to spot a deepfake — practical, human-check cues

No single check is perfect; combine multiple signals.

Look for:

• Context mismatch: Does the timing, location, or platform make sense? If a “breaking” video of a leader appears only on a small account, be suspicious.

• Audio-visual inconsistencies: Odd lip-sync, unnatural facial micro-movements, lack of realistic eye focus, or audio that sounds “off” (flattened emotion, weird breaths).

• Visual artifacts on close inspection: Blurry edges, flickering pixels around hair/eyeglasses/ears, inconsistent lighting or shadows.

• Unusual metadata or repost patterns: Missing camera metadata, or content that appears first on obscure accounts before mainstream outlets.

• Too-urgent emotional appeals: Scammers will create urgency or secrecy to short-circuit your critical thinking. That’s a classic social-engineering sign.

4) Concrete steps individuals should take — an actionable checklist

Before you share or act:

1. Pause and verify. Don’t forward or act on explosive audio/video without checking. Treat unexpected media as suspicious.

2. Cross-check trusted sources. See whether reputable news outlets, official channels, or the person’s verified account have published the same content.

3. Contact the person by a separate channel. If a loved one or boss sends an unusual voice/video message asking for money or secrecy, call them on a known phone number or send a message through an authenticated channel. Do not reply to the same thread or call-back numbers supplied in the suspicious message.

4. Inspect the content: Play full audio/video, pause and look for artifacts, check comments/other posts, and review upload history.

5. Use verification tools with caution: Uploading content to online detectors can help but results vary; treat tool outputs as one signal among many.

6. Protect your personal media: Don’t post private videos or audio you wouldn’t want reused; reduce publicly available training material (e.g., set social profiles to private where possible).

7. Lock down accounts & enable MFA: Strong passwords and multi-factor authentication prevent attackers from using stolen credentials to add legitimacy to fakes.

8. When money is involved — add friction: Require in-person confirmation, multiple approvals, or callbacks to known numbers for any financial transfer or sensitive request.

5) What organizations should do (policy + technical defenses)

• Create an incident playbook specifically for synthetic-media incidents. Include reporting channels, legal escalation, and public-communication templates. CISA/NSA guidance recommends contextual preparedness for organizations.

• Invest in detection & provenance tech: Tools that check cryptographic provenance, media metadata, and forensic signals help; but do not rely on them alone. Consider content authenticity systems (digital watermarks / provenance metadata) where feasible.

• Train staff with realistic simulations: Run tabletop exercises and phishing/deepfake drills for finance, HR, and leadership. Simulation training reduces success of social-engineering attacks.

• Verify high-risk transactions with out-of-band checks: Finance teams should require voice/video-origin authentication steps (pre-agreed codes, callbacks) before transfers.

• Legal & compliance readiness: Keep counsel informed; laws and takedown procedures are evolving quickly — have a plan to take down malicious content and pursue civil/criminal remedies where possible.

6) Tools and detection approaches (what exists today)

• Forensic detectors: Algorithms that look for pixel-level inconsistencies, physiological signals (blood flow), or compression signatures. These can flag suspicious media but produce false positives/negatives.

• Provenance frameworks: Some platforms and industry initiatives promote attaching cryptographic provenance or metadata at creation time so recipients can verify origin.

• Manual verification services: Journalists and platforms use human analysts plus tools to verify viral content.

• Commercial solutions: Several vendors provide enterprise-grade detection and monitoring products; choose vendors with independent evaluation and transparent metrics. (Note: vendor performance changes quickly — check up-to-date comparative reviews before purchasing.)

7) If you or your org are targeted — step-by-step response

1. Don’t engage or amplify the content. Avoid sharing the fake.

2. Collect evidence: Save original files, headers, timestamps, URLs, and screenshots.

3. Alert IT / security / legal teams: Use your incident response playbook.

4. Notify platforms: Report the content to the social platform with your evidence and request takedown. Many platforms have policies against manipulated media.

5. Communicate quickly and transparently: For reputational incidents, issue a factual statement that you’re investigating and provide a channel for inquiries.

6. Consider law enforcement: If the fake is used for extortion, identity theft, or serious fraud, file a police report and notify cybercrime units.

8) What the future likely holds

Research and industry reports show both rising attack frequency and improving defenses. Detection accuracy will get better with multimodal forensic approaches and provenance systems, but attackers will continue refining evasion techniques. That means the human element — skepticism, verification habits, and good operational controls — will remain critical for the foreseeable future. Recent industry surveys report rising incidence and financial losses, while many organizations still lag in preparedness.

Quick reference: Everyday checklist (one-page)

• Pause. Don’t forward explosive media.

• Cross-check with reputable outlets.

• Call or message the person on a known channel for confirmation.

• Don’t rely on a single detection tool — use multiple signals.

• Protect personal posts; enable privacy settings.

• Use MFA and strong account hygiene.

• For organizations: require out-of-band approvals for money; run tabletop exercises; keep an incident plan.

Recommended reading & resources

• U.S. federal agencies’ information sheet on synthetic media (CISA / NSA / FBI) — practical guidance for organizations and individuals.

• MIT Detect Fakes project — research on human and algorithmic methods to spot fakes.

• Consumer guides and threat write-ups from major security vendors (e.g., McAfee) for examples of scams and basic protections.

• Recent industry reports on deepfake incidents and enterprise preparedness (Ironscales & security industry press).

Final takeaway

Deepfakes are not just a tech novelty — they’re a fast-evolving tool attackers use for money, misinformation, and harm. Technology will improve detection, but no tool eliminates the risk. The most reliable defenses combine (1) skepticism and human verification habits, (2) basic security hygiene (MFA, account privacy), and (3) organizational policies and incident-readiness. Treat unexpected audio/video as suspicious, verify before acting, and use multiple signals — that simple habit will stop the majority of deepfake-enabled scams.

1. Types of threat actors

• Cybercriminals — motivated by money. They run ransomware, banking Trojans, phishing, card skimmers, and botnets.

• State-sponsored actors (APT — Advanced Persistent Threats) — nation-backed groups that pursue espionage, sabotage, or influence operations. They tend to use sophisticated, long-term intrusion methods.

• Insider threats — current or former employees, contractors, or partners who intentionally or accidentally misuse access. Motives range from financial gain to grievance or negligence.

• Hacktivists — ideologically motivated actors who deface sites, leak data, or disrupt services to advance a political or social agenda.

• Script kiddies / opportunists — less-skilled attackers who reuse public tools and exploits to strike low-hanging targets.

• Supply-chain attackers — target software, services, or hardware vendors to reach many victims through a trusted supplier.

2. Common attack vectors (how they get in)

• Phishing / social engineering — fake emails, messages, or calls that trick users into revealing credentials or running malware.

• Exploiting unpatched vulnerabilities — attackers scan for known security holes in software and devices.

• Weak or reused passwords — credential stuffing and brute-force attacks exploit predictable passwords.

• Malicious attachments and downloads — documents with macros, pirated software, or infected installers.

• Insecure remote access — exposed RDP, SSH, VPNs, or cloud consoles with poor protections.

• Compromised supply chain — malicious updates or dependencies injected into otherwise legitimate software/hardware.

• Third-party integrations and APIs — attackers abuse misconfigurations or excessive permissions.

3. Signs you may be targeted or compromised

• Unexpected password reset notifications or login attempts from unfamiliar locations.

• Sudden slowdown, unexplained crashes, or unusual network traffic.

• New accounts, unknown scheduled tasks, or services starting automatically.

• Unusual outbound connections (to strange IP addresses/domains).

• Files encrypted with a ransom note, or documents you didn’t create being leaked publicly.

• Alerts from security tools (antivirus, EDR, email gateway) about suspicious activity.

4. Prevention — foundational controls (individuals & small teams)

1. Enable Multi-Factor Authentication (MFA) everywhere possible. Use an authenticator app or hardware security keys (FIDO2) rather than SMS if available.

2. Use a password manager to generate and store unique, strong passwords. Avoid reusing passwords.

3. Keep devices and software up to date. Set automatic updates for OS, browsers, plugins, and critical apps.

4. Back up important data regularly (3-2-1 rule: 3 copies, 2 different media, 1 offsite). Test restores periodically.

5. Be skeptical of unexpected messages. Verify requests for credentials or money via a second channel (call the person). Never click links or open attachments from unknown senders.

6. Limit admin privileges. Use standard accounts for day-to-day tasks and separate admin accounts for administrative work.

7. Install reputable security software (antivirus/antimalware) and enable real-time protection.

8. Lock screens and encrypt devices. Use full-disk encryption on laptops and phones.

9. Use a secure home network. Change default router credentials, use WPA3/WPA2 encryption, and segment IoT devices on a separate guest network.

10. Educate yourself and your family. Teach people how to spot phishing, social-engineering tactics, and safe practices online.

5. Prevention — organisational & advanced controls

1. Patch management program. Inventory systems and apply security patches in a timely, tested manner.

2. Network segmentation. Separate critical systems (finance, production, backups) from general-user networks to limit lateral movement.

3. Endpoint Detection & Response (EDR). Deploy EDR to detect and respond to suspicious endpoint activity.

4. Email gateway security and phishing simulations. Use anti-phishing filters, DKIM/SPF/DMARC email authentication, and run regular simulated phishing training.

5. Least privilege and role-based access control (RBAC). Limit access to only what users need. Regularly review permissions.

6. Zero Trust principles. Authenticate and authorize every access request, regardless of network location.

7. Logging, monitoring, and SIEM. Centralise logs, monitor for anomalies, and retain logs long enough to investigate incidents.

8. Threat intelligence & vulnerability scanning. Use feeds and scanners to stay aware of relevant threats and exposed assets.

9. Incident response plan & tabletop exercises. Have an IR plan, defined roles, communication paths, and regularly rehearse scenarios.

10. Secure development practices. Apply secure coding, dependency scanning, and code reviews to reduce supply-chain risk.

6. What to do if you suspect a compromise

1. Isolate affected systems. Disconnect infected machines from the network (but preserve evidence if investigation required).

2. Change passwords and revoke credentials for affected accounts — but only after capturing forensic evidence if needed (in some investigations, immediate resets can destroy traces; coordinate with IR team or law enforcement when appropriate).

3. Notify your security/contact team (or your IT support) immediately. If you’re an individual, contact your bank and relevant services.

4. Collect logs and evidence. Save system logs, emails, and relevant artifacts. This helps responders contain and analyze the attack.

5. Restore from clean backups. Only restore after ensuring the infection has been eradicated. If ransomware is involved, consult professionals — paying ransom is not recommended and doesn’t guarantee recovery.

6. Scan and harden systems. Patch vulnerabilities, close exposed services, rotate keys/certificates, and apply configuration fixes.

7. Communicate transparently. For organisations, inform affected users, customers, and regulators as required by law. Have prepared templates for communication.

8. Report to authorities. In many countries you should report cybercrime to law enforcement (e.g., local cybercrime cell, CERT/CC). Reporting helps track threat actors and prevent future attacks.

7. Practical tools & habits (quick wins)

• Use an authenticator app (Google Authenticator, Microsoft Authenticator, Authy) or hardware key for important accounts.

• Password manager examples: Bitwarden, 1Password, LastPass (choose based on trust & features).

• Backups: Use both cloud backups and offline/inaccessible backups (air-gapped or immutable backups).

• Browser hygiene: Remove unused extensions, enable pop-up blockers, and consider using containerized browsing or separate browsers for sensitive tasks.

• For email: Enable DMARC, SPF, DKIM for domains; use email clients that warn about external senders or display full email headers when suspicious.

8. Special cases: ransomware, deepfakes, and targeted espionage

• Ransomware: Prioritise backups and offline copies. Never assume paying ransom will recover data — it encourages attackers and may not work. Engage incident response professionals and law enforcement.

• Deepfakes / impersonation: Verify unusual financial or legal requests via an independent channel. Use strict verification for wire transfers and executive requests (e.g., call-back policy).

• Targeted espionage (APT): If you suspect high-risk targeting (e.g., government contractor, critical infrastructure), engage professional incident responders and national CERTs quickly.

9. Building a security culture

• Security is not only technology — it’s people and processes.

• Run regular, short security training sessions and phishing drills. Reward reporting of suspicious emails (don’t punish mistakes).

• Make incident reporting simple and non-judgemental. The faster you know, the better you can respond.

• Keep leadership engaged — security requires budget and support from the top.

10. Checklist — immediate actions you can do today

1. Turn on MFA for all accounts that support it.

2. Start using a password manager and change reused passwords.

3. Create a backup plan (cloud + offline) and test a restore.

4. Update your operating system and important apps.

5. Run an antivirus/malware scan and remove detected items.

6. Review email for forwarded rules or unfamiliar auto-forwards.

7. Secure your home Wi-Fi (change default admin password, use WPA2/3).

8. Make a plan for reporting (who to call inside your organisation or local authorities).

11. Where to learn more (topics to explore)

• Basics of digital hygiene, phishing awareness, and password best practices.

• Endpoint Detection & Response (EDR) and Security Information and Event Management (SIEM) for organisations.

• Incident response playbooks and tabletop exercises.

• Threat intelligence and how to interpret indicators of compromise (IoCs).

• Legal/regulatory reporting obligations in your country or sector.

Final notes

Threat actors range from opportunistic scammers to highly resourced state groups. While no single measure guarantees perfect safety, layered defenses — combining strong authentication, timely patching, principle of least privilege, backups, monitoring, and informed people — dramatically reduce risk and make you a much harder target. Start with the high-impact, low-effort steps (MFA, password manager, backups, updates) and build out additional technical and organizational controls from there.

Understanding how AI-manipulated content works and how to detect it is crucial for protecting yourself and others online.

What is AI-Manipulated Content?

AI-manipulated content refers to any digital media that has been altered or generated using artificial intelligence to make it appear authentic. This can include:

• Deepfake videos: Realistic but fake videos that make it look like someone said or did something they never did.

• AI-generated images: Photos created by AI models like DALL·E or Midjourney that can mimic real people or places.

• Synthetic voices: AI voice clones used to impersonate individuals for fraud or misinformation.

• AI-written text: Articles, social media posts, or fake news created by AI to spread misinformation or manipulate public opinion.

Such content is often indistinguishable from reality, making it a powerful tool for deception.

How AI-Manipulated Content is Created

Modern AI models, such as Generative Adversarial Networks (GANs) and transformer-based architectures, are capable of learning from vast amounts of real-world data — images, videos, or voices — to generate new, hyper-realistic content.
For example:

• Deepfakes are made by training an AI model on videos of a person’s face to accurately mimic their expressions and speech.

• Voice cloning can replicate a person’s tone and accent with just a few seconds of recorded audio.

• AI text generators can write believable articles, fake reviews, or impersonate someone’s writing style.

The Dangers of AI-Manipulated Content

AI-manipulated media can be used for both harmless entertainment and serious malicious activities. Some of the most concerning risks include:

1. Misinformation and Fake News
   Deepfakes and AI-written content can spread false narratives during elections, public crises, or conflicts.

2. Financial and Identity Fraud
   Scammers can use AI-generated voices or videos to impersonate family members, company executives, or bank officials to steal money or sensitive information.

3. Defamation and Harassment
   Deepfakes can be used to create fake compromising videos of individuals, leading to reputational damage or blackmail.

4. Social Manipulation
   AI-generated propaganda can manipulate public opinion or sow division among communities.

5. Loss of Trust in Digital Media
   As fake content becomes more realistic, it’s increasingly difficult to distinguish truth from fabrication — leading to widespread skepticism of genuine information.

How to Identify AI-Manipulated Content

While AI-manipulated media can look or sound real, there are often subtle signs that reveal it. Here are key indicators to watch for:

1. Unnatural Facial Movements
   Look for irregular blinking, mismatched lip-syncing, or awkward head movements in videos.

2. Lighting and Shadows
   AI-generated images often have inconsistent lighting or shadows that don’t match the surroundings.

3. Audio Irregularities
   In voice recordings, pay attention to unnatural pauses, robotic tones, or missing background sounds.

4. Metadata Analysis
   Checking file metadata may reveal signs of tampering or missing original data.

5. Reverse Image or Video Search
   Use tools like Google Reverse Image Search or TinEye to find similar images online.

6. AI Detection Tools
   Platforms like Deepware Scanner, Hugging Face Deepfake Detector, and Sensity AI can help identify synthetic media.

How to Stay Safe from AI-Manipulated Content

Being cautious and informed is the best defense against AI-generated deception. Here are practical steps to protect yourself:

1. Verify Before Sharing
   Always confirm the authenticity of news, videos, or images before forwarding or reposting them.

2. Use Trusted Sources
   Rely on credible news outlets, official social media handles, and verified websites for information.

3. Install Digital Verification Tools
   Use browser plugins or mobile apps that can analyze and flag suspicious content.

4. Educate Yourself and Others
   Stay updated on new AI manipulation trends and teach friends or family members how to recognize fake media.

5. Enable Two-Factor Authentication (2FA)
   Protect your online accounts to prevent voice or image impersonation scams targeting your identity.

6. Report Deepfake or Fake Content
   Most social media platforms now allow users to report manipulated or misleading media. Reporting helps limit its spread.

7. Check for Watermarks or Provenance Data
   Many organizations are implementing Content Authenticity Initiatives (CAI) that embed digital signatures or watermarks in real images and videos.

The Role of Technology Companies and Lawmakers

Governments and tech companies are working together to combat the misuse of AI-generated media. Laws against deepfake-based defamation, fraud, and election interference are being introduced in many countries.
Meanwhile, companies like Microsoft, Google, and Adobe are developing AI content authenticity frameworks that label or trace the origin of digital content.

However, technology alone isn’t enough — public awareness remains the strongest line of defense.

Final thoughts

AI-manipulated content is one of the biggest digital threats of our time. As artificial intelligence becomes more advanced, the boundary between real and fake continues to blur. By staying informed, developing a critical eye, and using reliable verification tools, individuals can protect themselves and others from misinformation and digital deception.

The future of the internet depends not only on innovation but also on digital responsibility — ensuring AI is used to empower society, not mislead it.

To ensure your money and data stay secure, here’s a comprehensive guide on how to stay safe while making UPI payments.

What is UPI?

UPI (Unified Payments Interface) is a real-time payment system developed by the National Payments Corporation of India (NPCI). It allows users to instantly transfer funds between bank accounts using a smartphone, without needing bank details — just a UPI ID or QR code.

While the system itself is secure, human error, social engineering, and scams are the main causes of UPI frauds.

Common UPI Scams You Should Know

Before learning how to stay safe, it’s important to understand how fraudsters operate:

1. Fake QR Codes: Scammers share QR codes claiming you’ll receive money, but scanning them actually makes you send money instead.

2. Phishing Links: Fraudsters send links via SMS, email, or social media pretending to be from banks or e-commerce platforms.

3. Fake Customer Care Numbers: Fraudsters pose as customer care representatives and trick users into revealing their UPI PIN.

4. Screen Sharing Apps: Some scammers ask victims to install remote access apps (like AnyDesk or TeamViewer) to “fix issues” — giving them full control of the device.

5. Reward and Cashback Scams: Messages claiming “You’ve won ₹5,000 cashback” lead to malicious payment pages or phishing forms.

10 Essential Tips to Stay Safe While Using UPI

1. Use Only Trusted UPI Apps

Stick to verified apps such as:

• Google Pay

• PhonePe

• Paytm

• BHIM UPI

• Amazon Pay

Always download apps from official app stores only. Avoid third-party download links or modded versions.

2. Never Share Your UPI PIN

Your UPI PIN is secret — it’s like your ATM PIN.

• No customer care, bank, or government authority will ever ask for it.

• Never type your UPI PIN on any website or link other than your official UPI app.

3. Don’t Scan Unknown QR Codes

A QR code is only for sending money — not for receiving.
If someone says “scan this to get money,” it’s a scam. To receive money, simply share your UPI ID.

4. Verify UPI ID and Name Before Paying

When transferring money, always double-check:

• The UPI ID

• The receiver’s name shown on the confirmation screen

If the name doesn’t match or looks suspicious, cancel immediately.

5. Ignore Fake Calls and Messages

Fraudsters may impersonate:

• Bank officials

• Police officers

• UPI support staff

If you get such calls, don’t share OTPs or personal information.
Instead, contact your bank directly using official numbers listed on their website or app.

6. Be Cautious with Payment Links

Never click on random “payment” or “reward claim” links sent via WhatsApp, SMS, or email.
If you need to pay someone, open your UPI app and enter the UPI ID manually.

7. Lock Your UPI App and Device

Protect your apps using:

• App Lock (PIN, Fingerprint, or Face ID)

• Device Lock (Pattern/PIN)

This adds a second layer of protection if your phone is lost or stolen.

8. Keep Your Apps and OS Updated

Always install updates for your UPI apps and smartphone operating system. Updates fix security bugs that hackers might exploit.

9. Regularly Check Transaction History

Review your UPI and bank transaction history frequently.
If you notice suspicious activity:

• Report immediately to your bank

• Use NPCI’s UPI complaint portal
  https://www.npci.org.in/what-we-do/upi/dispute-redressal-mechanism

10. Report Fraud Immediately

If you suspect UPI fraud:

1. Contact your bank’s helpline and request to block your UPI ID/account.

2. Report the issue at the National Cybercrime Portal:
   https://cybercrime.gov.in

3. File an FIR or complaint with the local police if necessary.

Final Thoughts

Digital payments are safe and efficient — but only when used responsibly.
UPI is a secure platform backed by strong encryption, but scammers exploit user trust and carelessness. By following these safety measures, verifying details before every transaction, and staying alert, you can enjoy the benefits of cashless payments without falling victim to fraud.

Quick Safety Checklist

• Use trusted apps only

• Keep your UPI PIN secret

• Don’t scan unknown QR codes

• Avoid suspicious links or calls

• Stay alert and report fraud immediately

This article explores the most common cryptocurrency scams, how to identify red flags, and the best practices to ensure your digital assets stay safe.

1. Common Types of Cryptocurrency Scams

a. Phishing Scams

Scammers create fake websites or emails that mimic legitimate crypto exchanges or wallet providers. They trick users into entering their private keys, seed phrases, or login details.
Example: A fake email from “Binance” asking you to verify your account and enter your credentials.

How to Stay Safe:

• Always check the website URL carefully before logging in.

• Never click suspicious links in emails or messages.

• Enable two-factor authentication (2FA) on all accounts.

b. Investment and Giveaway Scams

Fraudsters promise guaranteed returns or “double your crypto” offers on social media, often impersonating celebrities or influencers.

Example: Fake Elon Musk or exchange accounts promising to send back double the amount of Bitcoin you send.

How to Stay Safe:

• Remember: if it sounds too good to be true, it probably is.

• Never send crypto to unknown wallets.

• Legitimate giveaways will never ask for payments or deposits.

c. Ponzi and Pyramid Schemes

These scams involve fake investment platforms that pay early investors with money from newer ones. Eventually, the system collapses, leaving most investors with losses.

Example: Scams like BitConnect lured investors with high returns and referral bonuses.

How to Stay Safe:

• Research the project and check if it’s registered or regulated.

• Be cautious of high, consistent returns with little to no risk.

• Avoid schemes emphasizing recruitment over actual investment.

d. Fake Wallets and Exchanges

Cybercriminals create apps or websites that look like legitimate crypto wallets or exchanges. Once users deposit funds, the scammers disappear.

How to Stay Safe:

• Download wallets or exchange apps only from official websites or verified app stores.

• Check for online reviews and community discussions before using any platform.

e. Rug Pulls and Fake Tokens

In decentralized finance (DeFi), developers sometimes launch new tokens or projects, attract investors, and then withdraw all funds, leaving investors with worthless tokens.

How to Stay Safe:

• Verify the project’s developers and check for audits.

• Avoid projects with anonymous teams and no whitepaper.

• Look for liquidity lock features that prevent sudden withdrawals.

f. Malware and Keylogger Attacks

Malicious software can record keystrokes or steal crypto wallet information from infected devices.

How to Stay Safe:

• Install reputable antivirus and anti-malware tools.

• Keep your device’s software updated.

• Avoid downloading unknown files or clicking suspicious links.

2. How to Identify a Crypto Scam

Here are a few red flags to watch for:

• Unrealistic promises of guaranteed profits.

• Pressure to act quickly or invest immediately.

• Anonymous founders or lack of transparency.

• Poorly designed websites or apps with broken links.

• No verifiable whitepaper, roadmap, or contact information.

3. Best Practices to Protect Your Crypto

Use Hardware Wallets

Store large amounts of cryptocurrency in hardware wallets (like Ledger or Trezor) for maximum security. These keep your private keys offline and safe from hackers.

Enable Strong Security Measures

• Use unique, strong passwords for each crypto account.

• Turn on 2FA using an authentication app (not SMS).

• Keep backup recovery phrases in a safe offline location.

Verify Before You Invest

• Research the team, project, and tokenomics.

• Check for security audits, regulatory compliance, and community feedback.

• Use trusted platforms and avoid unknown exchanges.

Stay Updated

Crypto scams evolve rapidly. Follow official exchange blogs, cybersecurity websites, and government advisories to stay informed about the latest threats.

Trust Your Instincts

If something feels suspicious — whether it’s a message, website, or investment — stop and verify it first. A moment of caution can save you from massive losses.

4. What to Do If You’re Scammed

• Report the incident to your local cybercrime unit or financial authority.

• Alert the crypto exchange (if involved) immediately.

• Warn others by posting about the scam on social media or crypto forums.

• Do not engage further with the scammer — block all contact.

Conclusion

Cryptocurrency offers exciting opportunities but comes with significant risks if you’re not cautious. By understanding common scams, practicing good cybersecurity habits, and verifying every source before you act, you can safely navigate the world of digital assets.

Always remember — in crypto, security is your responsibility.