Blog Post

Million-Dollar Job Scam: Investigating a StableCoin Heist from LinkedIn to Laundering

September 8, 2025

Introduction

In August 2025, a San Francisco resident urgently contacted AnChain.AI after discovering over $1 million in cryptocurrency missing from his MetaMask wallet — primarily USDT (Tether) and USDC (Circle) stablecoins across Ethereum and Arbitrum blockchains. 

The theft was the result of a highly sophisticated job recruitment scam. Unlike typical phishing attempts, this attack combined:

  • Multi-week social engineering through LinkedIn outreach and staged interviews.

  • Endpoint compromise via malicious software disguised as “interview tools.”

  • Blockchain money laundering techniques, including cross-chain transfers from Ethereum to Arbitrum to obscure the stolen funds.

This case also highlights the regulatory urgency behind the GENIUS Act (2024), which established stricter oversight of digital assets in the U.S. and raised the bar for incident reporting, AML compliance, and fraud prevention. Under this new framework, organizations cannot treat crypto breaches as isolated incidents — they are now compliance and regulatory events with material consequences.

In this article, we detail the attack vector, the incident response workflow, and critical precautions professionals should take when engaging with recruiters on LinkedIn and other job platforms.

This investigation was made possible through close collaboration with our partners, including:

  • FBI – California Field Office
  • MetaMask Security Team
  • Slowmist Security Team
  • Three major crypto exchanges based in APJ and EMEA
Job Scam Attack Vector From Linkedin to Laundering

The Attack Vector: From LinkedIn Outreach to Cross-Chain Crypto Laundering

Social engineering continues to be the most effective initial access vector in cybercrime. According to Verizon’s 2024 DBIR, 74% of breaches involve a human element, [link] including phishing and pretexting. In the cryptocurrency ecosystem, this risk is amplified: attackers not only compromise endpoints but also directly drain digital wallets, resulting in irreversible financial loss.

In a recent case investigated by AnChain.AI, attackers combined LinkedIn recruitment scams, malware delivery, and cross-chain laundering to steal and obfuscate millions in digital assets.

Stage 1: LinkedIn Outreach

The operation began with a fake recruiter profile, impersonating an HR manager at a well-known multinational. The profile featured:

  • Forged work history and endorsements.

  • Corporate branding elements for credibility.

  • Activity designed to bypass LinkedIn’s fraud detection filters.

This tactic is not isolated. LinkedIn reported in 2023 that tens of millions of fake accounts are blocked annually, yet sophisticated actors continue to exploit professional trust. Under the GENIUS Act framework, platforms like LinkedIn face growing pressure to strengthen KYC, AML, and anti-fraud defenses.

Linkedin fake accounts - source : Linkedin / Basedo

Stage 2: Professional-Looking Interview Process

Over three weeks, the victim engaged in multiple interview rounds, including scheduled video calls. Attackers leveraged:

  • Deepfake corporate identities to appear legitimate.

  • Polished communication that mirrored real recruiting workflows.

This extended vetting process lowered the victim’s guard, illustrating how AI is now weaponized to scale trust exploitation. Gartner predicts that by 2026, 30% of deepfake content online will be used for malicious purposes, up from less than 5% in 2022.

Stage 3: Malware Delivery via “Interview Tool”

Before the final interview, the victim was asked to install a webcam driver and run command-line “compatibility tests.” In reality, this was a Windows malware dropper. Technical payload analysis showed it:

  • Exfiltrated wallet.dat files, MetaMask browser extensions, and cached private keys.

  • Deployed clipboard hijacking logic, silently replacing copied wallet addresses with attacker-controlled addresses.

  • Established persistence using scheduled tasks and registry entries.

Such clipboard hijackers remain widespread: in 2024, Microsoft Threat Intelligence flagged over 7,000 malware families that target cryptocurrency wallet strings.

Stage 4: Immediate Exfiltration & Draining

Within hours of compromise, attackers executed automated sweeps of hot wallets:

  • Funds were consolidated into collector wallets.

  • Transfers were scripted to avoid human delays.

  • Assets began moving into cross-chain laundering channels almost instantly.

Stage 5: Cross-Chain Laundering via Arbitrum Bridge

Once consolidated, attackers initiated a laundering cycle:

  1. Initial Consolidation (Ethereum Mainnet): ETH and ERC-20 tokens swept into collector addresses.

  2. Cross-Chain Transfers: Significant portions bridged from Ethereum to Arbitrum, a popular Layer-2 (L2) chain.

  3. DEX Obfuscation: Funds split into smaller tranches, swapped into USDT/USDC on Arbitrum, then partially re-bridged or rerouted to other chains.

This tactic exploits weaker analytics coverage on L2 blockchain and cross-chain bridges, making them one of the most abused infrastructures in crypto crime.

👉 For a deeper dive: AnChain.AI blog on Cross-Chain Bridge Tracing

Tracing with AnChain.AI Auto Trace™

Despite these obfuscation attempts, AnChain.AI’s AutoTrace™ platform enabled investigators to:

  • Map flows across Ethereum and Arbitrum in near real-time.

  • Identify bridging events via canonical bridge contracts and rollup transactions.

  • Flag downstream wallets at centralized exchanges.

Rapid tracing allowed exchange freezes and law enforcement alerts before the assets could be fully laundered through mixers or fiat off-ramps.

AnChain.AI  Auto Trace AI platform enabled investigators to trace 10x faster.

🚨 AnChain.AI Incident Response Workflow

When crypto assets are stolen, every minute matters. AnChain.AI’s incident response combines digital forensics, blockchain tracing, and law enforcement coordination to contain damage and maximize recovery. The workflow below illustrates how our team neutralized a sophisticated job-scam–driven attack within hours.

1. Computer Forensics

2. Blockchain AutoTrace™

  • Stolen funds mapped within 1 hour.

  • Split across 5+ ETH addresses and bridged to Arbitrum blockchain.

  • 40% laundered through instant-exchanges/mixers in 12 hours.

  • Portion sent to 3 oversea exchanges in APJ and EMEA.

3. Law Enforcement & Exchange Coordination

  • AnChain.AI Auto Report AI  with tracing graphs , curated by the AnChain.AI investigators, helped the law enforcement accurately located the fundings.
  • FBI IC3 & local LE notified immediately.
  • Exchange outreach triggered wallet freezes.


4. Post-Breach Advisory

  • Use air-gapped hardware wallets + multi-sig.

  • Avoid browser wallets on untrusted devices.

  • Harden endpoints: disable autorun, enforce strict PowerShell policies, deploy EDR.

AnChain.AI Auto Report AI generating forensics report, curated by in-house experts before filing to the Law Enforcement and identified VASP.

Key Takeaways

  1. Social engineering + malware is a growing hybrid threat. Fake recruiters are not just phishing; they’re delivering tailored malware.

  2. Cross-chain bridges are the new weak link in compliance and must be prioritized in AML/CTF frameworks.

  3. Time is critical — in crypto, losses become irreversible within minutes, underscoring the importance of rapid incident response.

As the crypto ecosystem scales, regulators, platforms, and enterprises must treat social engineering + cross-chain laundering as one continuous kill chain, requiring integrated defenses from user education to blockchain analytics.

Tips to Stay Safe from Job Scams

1️⃣ Verify recruiters on LinkedIn through official company emails or HR directories.
2️⃣ Never install drivers, apps, or tools sent by strangers.
3️⃣ Never store passphrases in plain text on your computer or cloud services.
4️⃣ Secure your wallets with hardware devices and multi-sig; don’t rely solely on browser wallets.
5️⃣ Act fast — contact a trusted cryptocurrency incident response provider immediately. Every minute counts.

Closing

This case underscores how job scams blend human deception with technical exploitation, leading to catastrophic financial losses.

At AnChain.AI, our blockchain forensics expertise, AI-powered AutoTrace™, and close coordination with law enforcement enable us to respond within hours, not weeks — often determining the difference between total loss and meaningful recovery.

👉 If your organization or friend faces crypto incidents, contact AnChain.AI today.