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Off Guard: Breaking LiteLLM from authentication bypass to cloud compromise
Wiz found LiteLLM auth bypass (CVE-2026-59822) and post-auth RCE (CVE-2026-59821) chainable to cloud compromise; the bypass is in CISA KEV with in-the-wild exploitation.
Wiz scanned roughly 3,074 internet-facing LiteLLM deployments and found 9.6% accepted the default master key sk-1234 or required no authentication, making post-auth attacks effectively pre-auth. The MCP endpoint accepts any Bearer token and grants a valid session (CVE-2026-59822), confirmed exploited in the wild via honeypots and added to CISA's Known Exploited Vulnerabilities catalog. Custom code guardrails allow post-auth root-level RCE via exec(compile(...)) (CVE-2026-59821), while pass-through endpoints lack URL validation, enabling cloud credential theft in post-auth scenarios. All assigned vulnerabilities have been patched; the research was presented at DEF CON 34.
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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.
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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.
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Detecting cloud ransomware in Azure with Tenable One’s cloud detection and response capabilities
Tenable details ransomware group Storm-0501's Azure tenant-hijacking tactics and how its cloud detection and response identifies them.
Tenable's blog describes how cybercrime group Storm-0501 conducts cloud-first ransomware campaigns against Azure environments. The group has shifted from endpoint encryption to total hijacking of cloud tenants and systematically neutralizes resource locks, immutability policies, and backups. Tenable outlines its One Cloud Exposure detections, using AI-powered threat stories and precision alerts, to expose these TTPs early.
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Beyond the Perimeter: Building Resilience Against Cloud and SaaS Supply-Chain Attacks
ShinyHunters exploited an Oracle PeopleSoft zero-day to steal data and extort roughly 100 organizations, including the Council of Europe, for up to $2.3M.
Between May and early June 2026, the ShinyHunters group exploited a critical zero-day in Oracle PeopleSoft across about 100 organizations and 300 instances worldwide, per reports cited by The Register. Stolen records included employee and student personal data, payroll, tax, financial and health information, plus immigration and passport documents. AgentCypher.ai estimates extortion demands of $400,000 to $2.3 million per victim, typically in Bitcoin; the Council of Europe refused to pay. The article uses the incident to argue for Zero Trust, supply-chain risk management, rapid patching, encrypted distributed backups and defined recovery-time objectives.
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SAP Commerce Cloud CVE-2026-58231 Targeted in Exploitation Attempts Days After Patch
A maximum-severity (CVSS 10.0) unauthenticated RCE flaw in SAP Commerce Cloud, CVE-2026-58231, is under active exploitation days after patching.
CVE-2026-58231, rated 10.0 on CVSS, stems from insufficient authorization checks and input validation in SAP Commerce Cloud, enabling unauthenticated arbitrary code execution. Defused Cyber's honeypots detected exploitation attempts three days after the patch, and KEVIntel independently confirmed two attempts on August 14 from a US IP address. Onapsis urges customers to patch and rebuild, with an IP Filter Set offered as a temporary workaround. No actor attribution yet, though prior SAP NetWeaver flaw CVE-2025-31324 was exploited by China-nexus and criminal groups.
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SAP Commerce Cloud CVE-2026
Attackers actively exploit unauthenticated RCE CVE-2026-58231 (CVSS 10.0) in SAP Commerce Cloud days after patch release.
CVE-2026-58231, a maximum-severity flaw in SAP Commerce Cloud (CVSS 10.0), allows unauthenticated attackers to abuse a default authentication client and bypass insufficient validation, achieving arbitrary code execution and compromise of internal components. Defused Cyber researchers observed exploitation attempts against honeypots only three days after SAP released the patch. The flaw had no public PoC and was not previously known to be exploited. The attackers are unknown, though past critical SAP flaws have been exploited by China-linked groups UNC5221 and UNC5174 and ransomware gangs.
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