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Hackers Mass-Scan Exposed Vite Servers to Steal AWS and Azure Cloud Credentials
F5 honeypots record mass scanning of exposed Vite dev servers exploiting CVE-2026-39364 to harvest AWS and Azure cloud credentials.
F5 honeypots recorded 807 session-grouped attacks and roughly 32,000 raw events in August 2026 against internet-exposed Vite development servers, up from 1,732 events in the previous three months. Scanners abused CVE-2026-39364 (Vite 7.1.0-7.3.1, 8.0.0-8.0.4), bypassing server.fs.deny via @fs routes with ?raw/?import query parameters and double encoding to read .env files, AWS SSO caches, Azure tokens, and Terraform state. The same infrastructure also probed CVE-2025-29927 (Next.js), CVE-2025-30208, CVE-2025-31125 (KEV-listed January 2026), and CVE-2024-45811. Most traffic originated from Google Cloud IP ranges, with the US accounting for 17,297 events.
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Hackers Can Turn Vulnerable LiteLLM AI Gateways Into Root Access and Cloud Credential Theft
Wiz found multiple LiteLLM AI gateway flaws, including a CVE-2026-59822 MCP auth bypass added to CISA KEV, enabling root code execution and cloud credential theft.
An internet scan of 3,074 exposed LiteLLM instances found 294 (9.6%) accepting the default sk-1234 master key and 191 (6.2%) requiring no authentication. CVE-2026-59822 lets a single-character Bearer token establish a valid MCP session via an OAuth2 fallback in versions before 1.84.0; the flaw is in CISA's Known Exploited Vulnerabilities catalog. CVE-2026-59821 allows Python code execution as root in the gateway container via unsanitized Custom Code Guardrails registration before 1.82.0-stable, and CVE-2026-35029 permits config changes leading to RCE and admin takeover. Admin access plus pass-through endpoints can reach cloud metadata services to steal IAM credentials.
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Attackers Exploit MLflow SSRF Flaw to Steal Cloud Credentials and Secrets
Attackers exploit MLflow SSRF CVE-2026-64849 (CVSS 9.3) to steal cloud credentials; CISA added it to KEV; FUXA flaw CVE-2026-25895 is being scanned.
watchTowr observed exploitation of MLflow CVE-2026-64849, an unauthenticated SSRF (CVSS 9.3) affecting versions below 3.15.0, within hours of CVE assignment on August 17, 2026, with attackers abusing model-registry webhooks to reach cloud metadata endpoints and exfiltrate credentials and secrets. CISA added the flaw to its Known Exploited Vulnerabilities catalog on August 19, 2026, with a September 2 patch deadline for federal civilian agencies. VulnCheck reported scanning of FUXA CVE-2026-25895 (missing authentication plus path traversal, CVSS 9.5, versions through 1.2.9) beginning August 18; about 60 FUXA instances are exposed and no RCE payloads have been dropped yet.
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LiteLLM Flaws Let Attackers Execute Code as Root and Steal Cloud Credentials
Wiz disclosed LiteLLM flaws including CVE-2026-59822 MCP auth bypass, now in CISA KEV, enabling root RCE and AWS credential theft from exposed gateways.
Wiz researchers disclosed weaknesses in the open-source LiteLLM AI gateway: CVE-2026-59821 allows authenticated administrators to execute code as root via the Custom Code Guardrails feature, while CVE-2026-59822 is an MCP authentication bypass where a meaningless Bearer token establishes a valid session. The MCP bypass was observed in the wild through Wiz honeypots and added to CISA's Known Exploited Vulnerabilities catalog on September 2. A scan of 3,074 internet-facing instances found 294 (9.6%) accepting the default master key sk-1234 or lacking authentication. Fixes shipped in LiteLLM 1.82.0 (guardrail hardening) and 1.84.0 (MCP bypass); exposed instances can leak provider API keys and temporary AWS IAM credentials via the pass-through feature and metadata service, with a related config-check issue tracked as CVE-2026-35029.
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Mass-Scanning Campaign Exploits Vite Flaw to Extract Cloud Credentials From Exposed Dev Servers
Mass-scanning campaign exploits CVE-2026-39364 in exposed Vite dev servers to steal AWS/Azure credentials, .env files, and Terraform state.
F5 Labs documented an August 2026 credential-harvesting campaign exploiting CVE-2026-39364 (CVSS 8.2), a Vite flaw allowing unauthenticated attackers to bypass server.fs.deny via query parameters like ?raw and ?import&raw. Attackers issue GET requests to /@fs/ endpoints to retrieve .env files, AWS and Azure credentials, terraform.tfstate, serverless.yml, and /proc data from dev servers exposed via --host or misconfigured Docker port mappings. Requests impersonate crawlers like Googlebot, ClaudeBot, and GPTBot, forge X-Forwarded-For headers, and largely originate from GCP ranges in the US, Belgium, Netherlands, Singapore, and Taiwan.
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Threat Matrix: Mapping threats across cloud web applications
Microsoft released a Cloud Web Applications Threat Matrix, a MITRE ATT&CK-aligned framework mapping threats to cloud-hosted web apps and serverless platforms.
Microsoft introduced the cloud web applications threat matrix, which organizes attack techniques for cloud-hosted web apps and serverless platforms using MITRE ATT&CK tactics, from resource development through impact. The framework covers attack paths spanning application code, managed runtimes, workload identities, and deployment pipelines, cataloging techniques such as subdomain takeover, code injection in connected repositories, compromised registry images, exposed admin interfaces, and serverless trigger injection. It builds on Microsoft's earlier Kubernetes and storage services matrices to help defenders identify visibility gaps, prioritize hardening, and plan investigations in cloud-native environments.
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U.S. CISA adds a MLflow flaw to its Known Exploited Vulnerabilities catalog
CISA added actively exploited MLflow SSRF flaw CVE-2026-64849 (CVSS 9.3) to its KEV catalog; attackers are stealing cloud credentials from exposed instances.
CISA added CVE-2026-64849, a critical unauthenticated server-side request forgery in MLflow, to its Known Exploited Vulnerabilities catalog. The flaw affects MLflow versions before 3.15.0 and allows unauthenticated attackers to reach internal services including cloud metadata endpoints, exposing temporary cloud credentials. watchTowr observed in-the-wild exploitation exfiltrating credentials and secrets, plus widespread scanning of exposed MLflow instances within hours of the CVE's assignment on August 17, 2026. MLflow is an open-source platform for managing the machine learning and AI development lifecycle with over 60 million monthly downloads.
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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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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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Malicious LiteLLM Releases Tied to Trivy Hack May Have Exposed 2,100+ Organizations
Malicious LiteLLM 1.82.7/1.82.8 PyPI releases tied to the Trivy TeamPCP campaign harvested cloud, SSH, and database credentials, potentially exposing 2,500+ organizations.
CloudSEK reported that two malicious LiteLLM releases on PyPI (versions 1.82.7 and 1.82.8, live about 40 minutes on March 24) harvested cloud keys, SSH keys, Kubernetes tokens, and database passwords, with captured loot files mapping potential exposure to more than 2,500 organizations including NVIDIA, Cisco, Deloitte, Volkswagen, FedEx, Siemens, and X Corp. The campaign is part of TeamPCP (tracked by Google as UNC6780), linked to the Aqua Security Trivy scanner compromise tracked as CVE-2026-33634 and added to CISA's Known Exploited Vulnerabilities catalog on March 26. The payload used a litellm_init.pth file executed at Python interpreter startup and exfiltrated secrets to models.litellm[.]cloud; the FBI's FLASH-20260702-01 advisory urged rotation of CI/CD, publishing, and cloud credentials.
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Top 10 Best Cloud Detection & Response (CDR) Solutions in 2026
Editorial scorecard ranks ten 2026 cloud detection and response platforms; Sysdig, Wiz, and CrowdStrike lead, with Wiz's Gem Security acquisition highlighted.
The editorial scorecard rates ten CDR platforms on real-time detection (30%), cloud telemetry depth, response automation, correlation, and value. Sysdig earns the best real-time detection score for its Falco- and eBPF-powered runtime telemetry, Wiz (8.7) folds acquired Gem Security's real-time CDR into its security graph, and CrowdStrike (8.7) leads response automation. Specialists Stream.Security, Skyhawk Security, Sweet Security, and the open-source Falco project are also assessed.
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