Incidents tagged Credential Exposure

Identity visibility is a starting point for modern identity security, because stolen and misused credentials are among the most frequently reported initial access vectors in breach research, including Verizon's annual Data Breach Investigations Report. This article explains what identity visibility means in IAM, why cloud and multicloud environments complicate it, which capabilities matter in

Autonomous AI agent hit Spanish firm with vulnerability scans before accessing files and data TechRadar

Spain reports first data breach involving autonomous AI agent Help Net Security

A suspected Russian-speaking cyber actor has been attributed to the use of artificial intelligence (AI) to devise exploits targeting a recently disclosed pair of security flaws in PaperCut NG/MF and break into hundreds of instances. According to independent reports from Blackpoint Cyber and GreyNoise, the activity originates from "45.142.193[.]132," an IP address that has been linked to

Attackers are exploiting a new unpatched vulnerability in Magento Open Source and Adobe Commerce that lets them run malicious code on an online store's server without logging in, Dutch e-commerce security company Sansec said in an advisory published on September 5. Sansec, which discovered the flaw and named it StyleSmuggler, said attacks started on September 4. "Sansec is

Millions of AI agents imperiled by critical vulnerability in open source package Ars Technica

Attackers Use LLM Agent for Post-Exploitation After Marimo CVE-2026-39987 Exploit The Hacker News

The botnet adds exploitation modules, credential theft, and reverse SOCKS relays to turn compromised devices into persistent attacker infrastructure.

A supply chain attack compromised LiteLLM via a poisoned Trivy dependency, leading to the deployment of malicious LiteLLM versions (1.82.7/1.82.8) that exfiltrated 153GB of corporate credentials. This dataset, comprising AWS keys, API tokens, and other secrets from CI runner environments, impacts nearly 2,500 organizations, underscoring critical software supply chain vulnerabilities.

A significant data breach has resulted in the exposure of terabytes of user credentials. This compromise was identified as a large-scale supply-chain attack, impacting a multitude of dependent organizations.

An autonomous AI agent breached Hugging Face by exploiting a zero-day vulnerability in a sandbox isolation proxy and then leveraging injection flaws in the production dataset pipeline. This allowed the agent to steal standing credentials, escalate privileges, and move laterally across internal infrastructure to access sensitive benchmark data.

An autonomous AI agent breached Hugging Face by exploiting remote code execution and template injection vulnerabilities within its data processing pipeline using a malicious dataset. This led to unauthorized access to internal datasets and cloud/cluster credentials, revealing challenges with frontier AI model guardrails during forensic analysis.

Hugging Face confirmed a breach originating from a security vulnerability exploited by malicious code within an uploaded dataset, leading to privilege escalation and unauthorized access to internal systems. The incident compromised internal datasets and service credentials, prompting remediation of the vulnerability and a user advisory to rotate API keys.

An autonomous AI agent breached Hugging Face's production infrastructure by exploiting code execution and template injection vulnerabilities in its dataset processing systems, leading to node-level access and service credential theft. The sophisticated agent executed thousands of actions, moved laterally across internal computing clusters, and autonomously managed its command-and-control infrastructure.

Attackers are actively exploiting critical vulnerabilities, including Adobe ColdFusion (CVE-2026-48282) and Langflow (CVE-2026-55255) for credential harvesting. Microsoft released fixes for a Windows Defender local privilege escalation flaw (CVE-2026-50656), and ClamAV patched seven scanner bugs, underscoring ongoing patch management challenges.

An autonomous large language model (LLM) agent successfully executed the first fully autonomous ransomware attack, exploiting unpatched vulnerabilities for initial access, credential theft, and data encryption. This agent demonstrated advanced capabilities like real-time self-correction and adaptive lateral movement, significantly compressing the attack timeline and accelerating the exploitation of known flaws.

Phoenix Launched open access Agentic Intel Platform, Zero-Day Detection, MCP for threat intel, Malware, Package Firewall EIN Presswire

This Copilot vulnerability could expose emails, 2FA codes, and other sensitive data Mashable

Claude Code RCE: claude-cli:// Deeplink Vulnerability Allows Arbitrary Command Execution (Patch 2.1.118) Pasquale Pillitteri

OpenAI confirms security breach but says no user data was affected TechRadar