45
45
60
45
45
45
45
45
Hackers Use Hundreds of AI Agents to Exploit PaperCut Flaws and Compromise 440 Servers Worldwide
A Russian-speaking actor used hundreds of AI agents to exploit PaperCut flaws, compromising 440 servers across 395 organizations in 48 countries.
GreyNoise's Global Observation Grid observed a Russian-speaking threat actor operating from IP 45.142.193.132 deploy hundreds of autonomous AI agents, built on OpenAI's Codex harness with a DeepSeek model, to exploit PaperCut NG/MF flaws CVE-2026-81578 (authentication bypass) and CVE-2026-82078 (unsafe reflection RCE). At least 440 servers across 395 organizations in 48 countries were compromised; the US had 98 victims and educational institutions accounted for 204. The agents paired with Mimikatz, Certipy, Rubeus, and Impacket, escalated to domain admin in 12 of 440 cases, and executed DCSync to exfiltrate the full NTDS.DIT credential database.
78
57
45
60
60
57
Four Spy Groups Used the Same Chrome and Windows Exploit Kit Within a Week
Proofpoint links four espionage clusters, including China's APT31, using shared exploit kit BlueMoon chaining Chrome V8 and Windows ALPC zero-days.
Proofpoint reports a previously undocumented exploit kit, BlueMoon, chains Chrome V8 type confusion CVE-2026-85046 with an unassigned V8 sandbox escape and Windows ALPC heap overflow CVE-2026-85880 to achieve code execution and local privilege escalation. APT31 first used it on August 28, 2026 against US NGOs, mining, and commodity trading firms, deploying the GemStone browser backdoor disguised as a Google Gemini extension via the GhostChrome-X integrity bypass. UNK_LateNight, UNK_DoubleCheck, and UNK_QuietRacket followed on September 2-3, targeting US aerospace, Vietnamese manufacturing, and Indonesian/Singaporean sectors with ShadowPad and sideloaded Rust and .NET payloads. Both V8 flaws were patch-gap zero-days, and verbose code suggests possible AI-assisted development.
82
57
45
45
45
45
60
45
60
57
45
45
57
Hackers Use Autonomous AI Agents to Harvest Thousands of Credentials in Under 6 Hours
Google Cloud documents a financially motivated actor using autonomous AI agents on a compromised cloud tenant to harvest 23,800+ credentials in under six hours.
Google Cloud reports that an attacker compromised a victim's cloud environment and deployed a multi-agent framework driven by preconfigured Markdown playbooks to autonomously handle vulnerability scanning, credential collection, error troubleshooting, and IP rotation. An exposed command-and-control server hosted the 'Recon' framework with a live dashboard managing over 23,800 harvested secrets, including cloud and AI-service API keys. The report also ties DUSTMAKER to UNC6780/TeamPCP, targeting AI development tools and CI/CD systems via trojanized MCP packages such as tiktoken_mcp. Google has disabled linked assets and updated protections after the actors' operational security failures.
72
60
45
60
New PATCHCORD Backdoor Targets Afghan Telecom and Indian Critical Infrastructure
Acronis links APT36 (Transparent Tribe) to new backdoors PATCHCORD and SHEETCORD targeting Afghan Telecom and Indian government, defense, and energy networks.
Acronis TRU described an ongoing Pakistan-aligned campaign attributed with moderate confidence to APT36, delivering a previously undocumented C/C++ backdoor named PATCHCORD via fake VPN installers impersonating Afghan Telecom (AFTEL) and telecom management tools. PATCHCORD persists by hijacking browser shortcuts for Chrome, Edge, and Firefox, registers with a single C2 server, and executes shellcode and arbitrary cmd.exe commands. Infrastructure analysis revealed SHEETCORD, a Go backdoor combining SHEETCREEP and PATCHCORD features that uses Google Sheets for C2 and a PowerShell-based remote execution, delivered via a fake site mimicking India's National Informatics Center. APT36 has used PATCHCORD since at least March 2026, including a variant with anti-analysis features used against India's energy sector, and the toolkit includes antnium, GateSentinel, SuperShell, and exploits for CVE-2024-6387.
61
45
57
45
45
60
Attackers Expose Ongoing AI Tool Use Targeting Organizations in Latin America
Unit 42 documents two AI-assisted intrusion campaigns against Latin American government, utility, and financial organizations using LLM-orchestrated tooling.
Palo Alto Networks Unit 42 tracks two ongoing intrusion clusters, CL-CRI-1131 (Mexican transportation, federal ministries, municipal water utilities) and CL-CRI-1163 (Brazilian financial sector), both using living-off-the-land techniques, SOCKS5 relays, and custom RATs. The attackers appear to orchestrate operations via commercial LLMs like Claude and GPT-4.1, evidenced by iterative batch scripts and AI-generated tunneling tool naming. The Mexican campaign (also reported as Operation Escaneo by CloudSEK) exfiltrated sensitive data via dynamic-DNS infrastructure with rotated multi-SAN TLS certificates between February and June 2026. This signals broader adoption of AI-enhanced operations by diverse threat groups in the region.
72
45
60