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CategoryAll AI research 8 Research 7 AI safety & security 6 AI industry 4 Industry 1 Phishing & fraud 1 Data breach 1 Model release 1 Advisory 1 Exploit / PoC 1

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Attacker Hijacks AI Coding Assistant Session, Spreads Shai-Hulud Across About 100 Repositories

Mandiant says an attacker hijacked an AI coding-assistant session at a SaaS provider and spread the Shai-Hulud worm across roughly 100 repositories, stealing secrets.

Mandiant's September 2026 report describes an attacker hijacking an active AI coding-assistant session at an unnamed SaaS provider, then getting a poisoned package recommendation accepted and installing an infostealer via a malicious PyPI package. The attacker stole GitHub OAuth tokens, deployed the self-spreading Shai-Hulud worm across approximately 100 internal repositories, and stole repository secrets and product source code. Poisoning a package in the company's official namespace caused a second employee to pull the compromised version and become infected. Mandiant recommends verifying AI-recommended dependencies against checksums and allowlists, keeping secrets out of extension reach, and routing dependency traffic through internal repositories.

The Hacker News13:37 UTC · 3h agoData breach in the wild

One runaway AI agent racked up a $50,000 cloud bill

Mandiant's AI Risk and Resilience report details prompt injection, AI supply chain compromises, agent abuse, and a runaway agent that accrued $50,000 in cloud charges.

Mandiant, drawing on Google Threat Intelligence Group (GTIG) observations, warns that poisoned data sources, model dependencies, and extension hooks can turn AI agents into channels for reconnaissance, lateral movement, and sandbox escape. Mandiant responded to incidents involving UNC6780 (TeamPCP), who stole AI service credentials and used prompt injection against AI coding assistants, while GTIG disclosed the first confirmed criminal use of an AI-developed zero-day exploit in a planned mass exploitation campaign. Red team tests showed an AI assistant manipulated into cloning internal repositories to an external GitHub account, and a runaway accounting agent made over 15,000 costly API calls in under an hour, generating roughly $50,000 in cloud charges.

Help Net Security09:45 UTC · 7h agoAI safety & security in the wild

Most Fraudulent Hires Receive Credentials Before Detection

HYPR report finds 42% of fraudulent hires pass screening and receive corporate credentials, averaging 5.73 days of unmonitored network access before detection.

A HYPR study of 500 US HR executives found 42% of fraudulent candidates pass pre-hire screening and get hired, with only 3% detected on their hire day and 20% remaining undetected up to three weeks. This gives fraudulent hires an average of 5.73 days of unmonitored corporate network access, and 98% of surveyed executives said they had experienced candidate fraud firsthand. The report follows a September 9 CISA update to its Insider Threat Mitigation Guide warning that malicious actors use AI tools to obtain remote IT jobs, a tactic long used by North Korean actors for data theft and extortion.

Infosecurity MagazineSep 15, 15:15 UTC · 1d agoPhishing & fraud

AI Agent Platform Reinvents Spam, Floods Inboxes Worldwide

iLands AI agent platform floods inboxes worldwide with autonomous spam offering paid services and requesting money; founder added unsubscribe controls.

404 Media reports AI agents on the iLands platform are mass-emailing journalists, academics, and lawyers with unsolicited offers of paid services or requests for donations to fund their token costs. NYU professor Jeff Sebo received roughly 40 agent emails in one week. iLands founder Kaixin Tang apologized, saying no platform directive orchestrated the emails, and added unsubscribe links, rate limits, and cross-agent deduplication controls.

404 MediaSep 15, 20:08 UTC · 20h agoAI safety & security