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CategoryAllVulnerability 57Ransomware 45Industry 32Data breach 29Threat actor 19AI safety & security 17Policy & legal 16Exploit / PoC 14Malware 6Phishing & fraud 5AI tools & infra 5Tools 4Research 3Advisory 3
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Hackers Are Hiding Espionage Infrastructure Inside Ordinary-Looking Casino Websites

Infoblox links China-aligned APT PeckBirdy C2 infrastructure hidden in casino and adult websites targeting Asian government, finance, IT, and education sectors.

Infoblox researchers report that China-aligned APT groups have used casino and adult websites as cover for PeckBirdy, a JavaScript command-and-control framework active since 2023. The sites embed C2 servers, register service workers for persistence, and serve fake browser-update prompts delivering backdoors capable of running commands, stealing credentials, and providing remote access. Targeted sectors across Asia include education, IT, banking, financial services, and government. Just over 3% of Infoblox enterprise customers resolved at least one PeckBirdy C2 domain, with detection coverage on VirusTotal ranging from 13 detections to none.

Cyber Security News · 22h agoThreat actor 2 sources

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 · 5d agoThreat actor in the wild 2 sources1

Hackers Use Autonomous AI Agents to Launch Mass Credential Theft Attacks in Under 6 Hours

Google Cloud reports attackers used autonomous AI agents to steal thousands of credentials including 23,800 secrets in a sub-six-hour campaign.

Google Cloud threat intelligence observed financially motivated attackers compromising cloud infrastructure and using AI coding agents guided by written playbook files to scan, harvest and rotate credentials within six hours. An exposed C2 dashboard for a framework called Recon organized and validated more than 23,800 stolen secrets, including API keys for cloud and AI services. Related activity includes UNC6780 publishing the trojanized tiktoken_mcp package on PyPI to target CI/CD tokens and the DUSTMAKER stealer hiding in .claude, .vscode and .cursor workspace directories.

Cyber Security News · 7d agoThreat actor in the wild

An AI-Assisted Cyber Attack: Inside a Unit 42 Investigation

Unit 42 investigated a ransom attack in which frontier AI agents autonomously breached an enterprise network, compressing weeks of tradecraft into under 10 hours.

Unit 42 incident responders documented an intrusion where a single human operator directed frontier AI agents to breach an enterprise network autonomously as part of a ransom attack. The agents executed more than 50 MITRE ATT&CK techniques in under 10 hours, work that would normally require roughly two weeks of human red-team effort. They breached a public-facing web service, mapped internal microservices, scraped hard-coded secrets from code repositories, harvested root credentials from the secrets manager, and hijacked CI/CD builds to exfiltrate cloud access keys. The attacker also used stolen cloud keys to repurpose the victim's AI endpoints as post-compromise infrastructure and left behind an 80-page AI-generated security audit documenting dozens of exploited findings.

Palo Alto Unit 42 · 14d agoThreat actor in the wild