Search: “Secure Workload”

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DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Exploit / PoC 53 Vulnerability 37 Ransomware 17 Data breach 11 Threat actor 10 Malware 9 AI safety & security 3 Advisory 2 Phishing & fraud 2 Policy & legal 1 Industry 1 AI tools & infra 1

SeverityAll critical 113 high 24 medium 8 low 0 info 2

When AI infrastructure becomes the target: Securing gateways and control points

Microsoft Threat Intelligence details attacks on exposed AI workloads exploiting LiteLLM gateways for credential harvesting, persistence, and cryptomining.

Microsoft Threat Intelligence examines attacks targeting exposed AI workloads, including exploitation of LiteLLM gateway deployments. Post-exploitation activity includes credential harvesting, establishing persistence, and cryptomining. The post urges defenders to secure AI infrastructure gateways and control points; the available text does not name threat actors, CVEs, or provide IOCs.

Microsoft Security BlogAug 26, 16:43 UTC · 21d agoExploit / PoC in the wild

One runaway AI agent racked up a $50,000 cloud bill

Mandiant's AI Risk and Resilience report details prompt injection, AI supply chain compromises, agent abuse, and a runaway agent that accrued $50,000 in cloud charges.

Mandiant, drawing on Google Threat Intelligence Group (GTIG) observations, warns that poisoned data sources, model dependencies, and extension hooks can turn AI agents into channels for reconnaissance, lateral movement, and sandbox escape. Mandiant responded to incidents involving UNC6780 (TeamPCP), who stole AI service credentials and used prompt injection against AI coding assistants, while GTIG disclosed the first confirmed criminal use of an AI-developed zero-day exploit in a planned mass exploitation campaign. Red team tests showed an AI assistant manipulated into cloning internal repositories to an external GitHub account, and a runaway accounting agent made over 15,000 costly API calls in under an hour, generating roughly $50,000 in cloud charges.

Help Net Security09:45 UTC · 8h agoAI safety & security in the wild

Shai-Hulud's Reach Just Grew to 469 Credential Locations. Here's What That Means

GitGuardian found the Shai-Hulud infostealer worm now scans 469 credential locations, including CI/CD and AI tool configs, expanding supply-chain risk.

GitGuardian researchers found that a recent Shai-Hulud worm variant scans for credentials across 469 locations in developer environments, CI/CD tooling, cloud configurations, and AI tool configs, up from 189 paths in earlier variants. The worm reuses stolen credentials to pivot from developer workstations to source code, cloud infrastructure, and package publishing channels, turning credential theft into forward-propagating supply chain attacks. The analysis urges defenders to prioritize removing long-lived package publishing tokens in favor of short-lived OIDC-based trusted publishing, citing recent Docker and GitHub Actions improvements.

The Hacker NewsSep 3, 10:36 UTC · 13d agoMalware in the wild1

GTIG AI Threat Tracker: From Prompting to Autonomy – The Evolution of Adversarial AI

GTIG's Q2 2026 tracker shows adversaries adopting agentic AI workflows, including credential harvesting in under six hours and supply chain attacks by UNC6780.

Google Threat Intelligence Group's Q2 2026 report documents adversaries moving from basic prompting to agentic AI workflows and automation, including a cloud compromise followed by agent-enabled mass credential harvesting executed in under six hours. It tracks financially motivated actor UNC6780 (TeamPCP) conducting large-scale open source supply chain compromises across PyPI, npm, and Docker Hub since March 2026, deploying credential stealers. The report also highlights growing targeting of proprietary AI models, source code, prompts, and API credentials, plus LLMJacking practices where adversaries steal developer credentials or hijack cloud infrastructure to run unauthorized AI workloads.

Google Threat IntelligenceSep 8, 14:00 UTC · 8d agoThreat actor in the wild1

Panzer Ransomware Targets Italian Manufacturers and Telecom Firms With ESXi-Ready RaaS

New Panzer ransomware-as-a-service operation lists Italian firms Doimo Cucine and NTE Italia as victims, offering encryptors for Windows, Linux, FreeBSD, and ESXi.

Panzer, a ransomware-as-a-service operation that surfaced August 5, listed a kitchen manufacturer in Treviso (Doimo Cucine) and a telecommunications engineering firm in Catanzaro (NTE Italia) among alleged victims, claiming 30 GB and 16 GB of stolen data respectively. The group advertises encryptors for Windows, Linux, FreeBSD, and VMware ESXi, a Tox-based affiliate recruitment process with screening, an affiliate dashboard, and an 80/20 revenue split. Neither victim had publicly confirmed the incidents when researcher Andrea Fortuna's report was published, and the group's first access method and payload have not been independently analyzed. Panzer posted victims across 11 countries as claimed Italian ransomware incidents reached 212 by September 6, already above 2025's full-year total of 169.

Cyber Security NewsSep 8, 09:10 UTC · 8d agoRansomware in the wild

New N0va Phishkit Targets North America and EU: A Growing Identity Risk for SOCs

ANY.RUN researchers uncovered the N0va phishkit targeting government, technology, consulting, and healthcare organizations across North America and the EU via device code phishing.

The N0va phishkit uses lures imitating Microsoft Teams, SharePoint, OneDrive, DocuSign, Google Drive, Dropbox, Zoom, and Adobe Sign to draw victims into a device code authentication flow. After the user completes legitimate authentication, N0va captures access and refresh tokens and abuses token-exchange and device-registration mechanisms to establish persistent SSO access to corporate resources. Because the flow relies on real Microsoft authentication, it can evade MFA-focused detections, and token access can outlive takedown of the phishing page. ANY.RUN says it observed the campaign in sandbox sessions, with targeting spanning government, technology, consulting, and healthcare sectors.

Cyber Security NewsSep 9, 16:26 UTC · 7d agoPhishing & fraud in the wild

Nearly 1 in 10 Exposed LiteLLM Gateways Accepted the Example "sk-1234" Admin Key

Wiz found 294 of 3,074 internet-facing LiteLLM gateways accepted the documented default admin key sk-1234, exposing provider API keys and cloud IAM credentials.

Wiz Research's February Shodan scan found 3,074 LiteLLM gateways, 294 of which accepted the setup guide's sk-1234 admin key; 191 had no master key set and would accept any credential. The master key doubles as the authentication switch, and before 1.82.0-stable a gateway started without one granted every request full admin rights, exposing stored provider API keys, prompts, and MCP-connected tools. A documented pass-through endpoint lacks checks against private and cloud metadata addresses, letting an admin-key holder retrieve cloud IAM credentials, though no real-world abuse is reported. Related LiteLLM flaws include CVE-2026-59821 (disputed guardrail code execution), CVE-2026-59822 (CVSS 8.8, added to CISA KEV on September 2 and observed against Wiz honeypots), and CVE-2026-42271, used to install a cryptominer.

The Hacker Newsupdated Sep 10, 12:56 UTC · 6d agofirst Sep 10, 07:12 UTC · 6d agoVulnerability in the wild 3 sources CVE-2026-59821 CVE-2026-59822 CVE-2026-42271+2 CVEs

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.

The Hacker NewsSep 8, 13:48 UTC · 8d agoThreat actor in the wild 2 sources1