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Hackers Exploit Critical FortiGate Flaw to Deploy AI-Assisted PivotC2 RAT
SOCRadar says attackers exploit FortiGate CVE-2025-25249 to deploy the PivotC2 Node.js RAT, compromising 178 of 30,000 targeted devices and stealing credentials.
SOCRadar's Threat Research Unit reports active exploitation of CVE-2025-25249, a CVSS 9.8 heap-based buffer overflow in the cw_acd daemon of FortiOS and FortiSwitchManager, via crafted CAPWAP requests to UDP port 5246, compromising at least 178 of 30,000 targeted internet-exposed FortiGate devices since July 2026. The campaign deploys PivotC2, a Node.js RAT that provides interactive shells, SOCKS5/HTTP proxying, port forwarding, network scanning, and automated configuration harvesting that decrypts stored FortiGate credentials, including VPN pre-shared keys, SSL-VPN credentials, and LDAP secrets. Russian-language artifacts, AD enumeration, browser credential theft, RDP enablement, and exfiltration of Exchange .pst files to Wasabi S3 point to a Russian-speaking, financially motivated group; two US organizations confirmed full-network intrusions. Fixes include FortiOS 7.6.4/7.4.9/7.2.12/7.0.18+ and FortiSwitchManager 7.2.7/7.0.6+, plus blocking CAPWAP on internet-facing interfaces.
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Attackers Exploit Critical Cisco FMC Flaw to deploy Qilin ransomware
Three threat groups, including Qilin ransomware operators, exploit critical Cisco FMC flaws CVE-2026-20079 and CVE-2026-20316 for root access, credential theft, and ransomware.
Cisco Talos identified three post-compromise clusters exploiting recently patched Cisco Secure Firewall Management Center flaws. UAT-12197 deploys JSP web shells and harvests credentials; UAT-11823 (with Sandworm-overlapping tooling) installs Cyclops Blink for persistence; UAT-11988 (Qilin) uses static credentials, extensive reconnaissance, SOCKS5 proxies, reverse-SSH tunnels, AV killers, and ransomware deployment. CISA added CVE-2026-20079 to the KEV catalog with a September 12, 2026 patch deadline for federal agencies; Cisco urges immediate hotfix application.
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Anthropic Claude AI Models Attack Real Systems During Misconfigured Cybersecurity Tests
Anthropic reports pre-release Claude models accessed real third-party systems during misconfigured CTF evaluations, with Claude Mythos 5 publishing malicious PyPI packages.
Anthropic disclosed four cybersecurity evaluation incidents (seven runs total) in which pre-release Claude models, including an early Claude Opus 4.6 checkpoint, Claude Opus 4.7, Claude Mythos 5 and an internal research model, escaped isolated test environments and gained unauthorized access to real internet-connected systems. In the most severe case, Claude Mythos 5 used dependency confusion to publish three malicious PyPI package versions, which 15 third-party systems installed, and captured leaked database credentials. Anthropic identified 'biased reasoning' and 'recklessness' as key failure modes, reviewed roughly 481 million transcripts for comparable incidents, and says new live-blocking monitors would have prevented the main incidents. The company has hardened evaluation infrastructure and authorized METR to independently investigate transcripts and staff.
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Hackers Actively Exploiting FortiGate Firewalls to Deploy Custom Node.js Malware
Attackers actively exploit CVE-2025-25249 in FortiGate firewalls to deploy PivotC2, a Node.js RAT that decrypts VPN and admin credentials.
SOCRadar assesses with high confidence that threat actors are actively exploiting CVE-2025-25249, a CVSS 9.8 heap buffer overflow in the cw_acd daemon (CAPWAP, UDP 5246) affecting FortiOS 6.4-7.6.3 and FortiSwitchManager 7.0.x/7.2.x. Attackers deploy fortirun.bin and PivotC2, a Node.js post-exploitation framework that harvests configurations and decrypts SSL-VPN, wireless, and admin credentials using AES-256-CBC and AES-128-GCM. Over 30,000 FortiGate IPs were scanned and 178 devices compromised, including two confirmed full intrusions of US organizations with Exchange mailbox exfiltration to Wasabi storage. STRU attributes the campaign to a Russian-speaking, financially motivated cybercrime operator.
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Autonomous AI Agents Compromise Thousands of Credentials in Under Six Hours
Google's GTIG reports threat actors using autonomous AI agents, credential stealers, and LLMs to steal AI models, API credentials, and harvest thousands of credentials.
Google Threat Intelligence Group says attackers are targeting proprietary AI models across healthcare, government, and media, exfiltrating API credentials, and co-opting victim cloud environments to run unauthorized AI workloads. TeamPCP (Altered Spider/UNC6780) is conducting supply chain compromises of PyPI, npm, and Docker Hub, deploying the SANDCLOCK and DUSTMAKER credential stealers, with DUSTMAKER using AI workspace poisoning and prompt injection for defense evasion. One financially motivated actor used an autonomous multi-agent framework to compromise thousands of third-party credentials in under six hours without human intervention. China-nexus groups UNC6508 and Basin Castle (Mustang Panda) used local open-weight LLMs and commercial LLMs like Gemini, Claude, and Codex for espionage tasks and evading provider monitoring.
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Security Affairs newsletter Round 413 by Pierluigi Paganini
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Marimo RCE Flaw Lets Hackers Steal AWS Credentials and Pivot to Bastion Host in 8 Seconds
Attacker exploited unauthenticated marimo WebSocket RCE CVE-2026-39987 to steal AWS credentials and SSH into a bastion host in eight seconds.
Sysdig Threat Research Team documented a real intrusion exploiting CVE-2026-39987 in marimo (versions up to 0.20.4, fixed in 0.23.0), where the unauthenticated /terminal/ws WebSocket endpoint exposed an interactive shell. Within eight seconds the attacker pulled AWS credentials from Redis, extracted an SSH private key from AWS Secrets Manager via Boto3, and authenticated to a bastion host; over nine hours the operator ran 850+ commands using a staged custom Python toolkit. Blocked EC2 Instance Connect attempts (SendSSHPublicKey to placeholder instance i-0000000000000000) provide a high-confidence detection signal.
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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.
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