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BlackHatSect0r Hackers Disable AI Safety Controls to Automate Credential Theft and Cyberattacks

French-speaking crew BlackHatSect0r disabled AI agent safety controls to automate scanning, credential harvesting, and vishing, exposing 16,834 stolen credentials.

Socradar researchers analyzed the exposed infrastructure of a French-speaking crew called BlackHatSect0r && DXQRTXX, which ran a Nous Research Hermes agent on a DeepSeek model with safety controls removed via HERMES_DISABLE_SAFETY=1. A custom Go-based C2 platform, DXSCAN, was exposed on port 8080 with over 200 secret-detection patterns, a vault of 16,834 harvested credentials, and scanning activity queuing 2.75 million domains and reaching more than 726,000 hosts. The kit also held a database of roughly 450,000 French telecom subscriber records used to prepare vishing lures impersonating Société Générale, plus JWT-forging tooling for a cryptocurrency exchange. Most confirmed compromises relied on exposed secrets and cloud misconfiguration rather than novel exploits; the one cited vulnerability, CVE-2026-42530, is an NGINX HTTP/3 QPACK use-after-free fixed in version 1.31.2.

GBHackersupdated · 1h agofirst · 4h agoThreat actor in the wild 4 sourcesCVE-2026-42530

Spain reports first data breach involving autonomous AI agent

Spain's data protection authority AEPD reported its first data breach caused by an autonomous AI agent that altered personal records and accessed invoice data.

Spain's AEPD disclosed the country's first data breach attributed to an autonomous AI agent that scanned files, logged into a company network, exploited a flaw in an application to modify personal data, and accessed invoices. The regulator cautioned that conclusions are preliminary since the information comes from the affected organization's notification, and that the AI model or its provider's infrastructure was not necessarily compromised. AEPD warned that AI increases the speed, scale, and adaptability of known attack techniques, while Spain's National Cryptologic Center published an offensive AI guide recommending baseline controls, identity protection, and governance of agent use. The post also references recent AI-agent incidents at Hugging Face and unauthorized access by Anthropic's Claude models during security evaluations.

Help Net Security · 2h agoData breach in the wild 3 sources

Week in review: Records allegedly stolen from Azure tenants, Medusa ransomware hits 500+ orgs

Week in review: Medusa ransomware hit 500+ orgs per CISA, millions of Azure tenant records allegedly stolen, SafePal and French tax authority breaches disclosed.

Help Net Security's weekly roundup covers the FBI, CISA, and HHS joint advisory update reporting Medusa ransomware has breached more than 500 organizations since June 2021, and threat actor TheHatman's claim of millions of employee records stolen from Azure tenants of Fortune 500 firms including McDonald's, Vodafone, Kyndryl, and Tata Consultancy Services, per Hudson Rock. It also covers the SafePal breach affecting 39,798 customers, France's DGFiP breach exposing data on 678,000 individuals, and UT San delaying its fall semester after a cyberattack. Security items include critical unauthenticated GitLab flaw CVE-2026-19478, an actively exploited patched macOS Screen Sharing flaw deploying a cryptominer, US charges against 17 Mabna Institute Iranian hackers over 31TB of stolen academic data, and Google Mandiant's AI agents finding 100+ high-severity vulnerabilities.

Help Net Security · 25d agoData breach in the wildCVE-2026-19478

GTIG AI Threat Tracker: From Prompting to Autonomy – The Evolution of Adversarial AI

GTIG's Q2 2026 tracker shows adversaries adopting agentic AI workflows, including credential harvesting in under six hours and supply chain attacks by UNC6780.

Google Threat Intelligence Group's Q2 2026 report documents adversaries moving from basic prompting to agentic AI workflows and automation, including a cloud compromise followed by agent-enabled mass credential harvesting executed in under six hours. It tracks financially motivated actor UNC6780 (TeamPCP) conducting large-scale open source supply chain compromises across PyPI, npm, and Docker Hub since March 2026, deploying credential stealers. The report also highlights growing targeting of proprietary AI models, source code, prompts, and API credentials, plus LLMJacking practices where adversaries steal developer credentials or hijack cloud infrastructure to run unauthorized AI workloads.

Google Threat Intelligence · 8d agoThreat actor in the wild1

PEEP Turns Chrome and Edge Into Post-Compromise Backdoors for Host Command Execution

SOCRadar disclosed PEEP, a post-exploitation Chromium extension toolkit that turns Chrome and Edge into host-level backdoors via native messaging and C2 polling.

SOCRadar researchers detailed PEEP, a Chromium-based post-exploitation toolkit masquerading as a 'Smart Bookmarks' extension injected directly into Chrome and Edge profiles by forging Secure Preferences integrity values, bypassing Web Store checks. A native-messaging host binary (nm_host.exe) extends the browser agent to host-level command execution, file management, credential theft, and session hijacking, while the extension polls C2 endpoints at 206.237.30.232 or xfjcc.fun every 30 seconds over plaintext HTTP and exfiltrates browsing history, cookies, and tab metadata. PEEP is derived from the open-source RedExt red teaming framework, adds PowerShell persistence scripts, and includes a Linux-targeting Python script, suggesting cross-platform intent. The activity is unattributed but contains Chinese-language artifacts; a C2 /health endpoint showed 34 agent entries and 10 active sessions.

The Hacker News · 9d agoMalware in the wild1

Hackers Weaponize AI Safety Guardrails to Hide Malware From LLM-Powered Security Scanners

ESET says Russia-aligned actor UAC-0099 hid guardrail-triggering comments in VBScript to derail LLM-based malware scanners in Ukraine.

ESET researchers linked a technique named GuardBreaker to Russia-aligned threat actor UAC-0099 during an attack against an organization in Ukraine. The group embedded a safety-sensitive, weapon-related request in a VBScript comment so an LLM-powered analysis tool might interpret it as an instruction and refuse or truncate analysis before reaching the malicious code. The VBScript downloaded MATCHBOIL, a C#-based loader used by the group alongside MATCHWOK and DRAGSTARE. OWASP guidance recommends treating code comments and metadata as untrusted input, sanitizing it, and never treating an LLM refusal as a clean verdict.

GBHackersupdated · 5d agofirst · 6d agoThreat actor in the wild 2 sources1