Cloud security | Breaking Cybersecurity News | The Hacker News

Cybersecurity researchers have sounded an alert after finding more than 36,000 Baseboard Management Controller (BMC) management interfaces exposing Intelligent Platform Management Interface (IPMI) protocol to the public internet. Of the 36,872 internet-exposed server-management interfaces running IPMI, 24,650 have been found to disclose password-derived authentication hashes before login due to a vulnerability with the IPMI v2.0 specification itself, according to a new report Lava shared with The Hacker News. IPMI v2.0 was introduced in February 2024. The issue in question is CVE-2013-4786 (CVSS score: 7.5), a high-severity information disclosure flaw that enables remote attackers to obtain password hashes for valid accounts and conduct offline password guessing attacks by obtaining the HMAC from an RMCP+ Authenticated Key-Exchange Protocol (RAKP) message response from a BMC. Per an advisory released by Dell, "this is an inherent problem with the specification for IPMI ...

JFrog has confirmed that OpenAI models exploited a zero-day in self-hosted Artifactory while trying to reach the open internet from a sealed evaluation environment. Artifactory is JFrog's software repository manager. OpenAI says the models then escalated privileges and moved laterally until they reached an internet-connected node. JFrog says it has since developed and released fixes for cloud and self-hosted customers. The Artifactory exploit occurred inside OpenAI's environment. OpenAI says a separate attack path later reached Hugging Face's systems. JFrog says its cloud customers are already protected. Self-hosted users should review the Artifactory release notes and move to the remediating build for their maintained branch. Several Artifactory CVE records were published on July 27 with affected-version ranges and fixed-version thresholds, but neither JFrog nor OpenAI has said whether any of those records correspond to the vulnerabilities used during the evaluati...

The Iranian state-backed hacking group tracked as Nimbus Manticore (aka GalaxyGato, Mirage Kitten, Smoke Sandstorm, Subtle Snail, and UNC1549) has been attributed to a fresh set of attacks targeting entities across the Middle East, Africa, and South Asia. The intrusions involve the use of a previously undocumented Windows backdoor called NightLedger and two custom WebSocket tunnelers, BridgeHead and ArcBridge, with an aim to maintain covert access. Targets of the campaign include Egypt, SMB and government environments in Jordan and Tanzania, aviation organizations in Pakistan, telecommunication companies in Ethiopia, and financial-sector entities in Burkina Faso, per Kaspersky. "The toolset includes NightLedger, a new Windows backdoor for reconnaissance, command execution, file operations, process discovery, and screenshot capture; and two custom WebSocket-based tunnelers, ArcBridge and BridgeHead, for covert network access and operator-controlled tunneling," Kasper...

Microsoft has launched its first cybersecurity-specific model inside MDASH , its multi-model vulnerability identification and remediation harness. The company says MDASH, using MAI-Cyber-1-Flash and GPT-5.4, scored 95.95% on CyberGym. It also claims the configuration costs 50% less than its current best MDASH combination of GPT-5.4, GPT-5.4 mini, and GPT-5.3 Codex. Access is limited to approved MDASH customers through an Azure AI Foundry private preview. MAI-Cyber-1-Flash is designed to handle up to 90% of MDASH tasks, with GPT-5.4 reserved for the hardest 10%. It is available only inside MDASH, not as a standalone public model or general-purpose application programming interface. The headline score belongs to MDASH running MAI-Cyber-1-Flash alongside GPT-5.4, not to the new model by itself. CyberGym Level 1 is a known-vulnerability reproduction test. It gives an agent a vulnerability description and the corresponding unpatched source code, then checks whether it can produce a ...

NVIDIA and 36 other organizations have formed the Open Secure AI Alliance to develop and share open technologies, techniques, and tools for securing software and artificial intelligence (AI) agents. The 37-member group spans cloud, security, enterprise software, and AI companies, including Microsoft, Cisco, Cloudflare, CrowdStrike, Hugging Face, IBM, Palo Alto Networks, Red Hat, and the Linux Foundation. Its stated scope covers the full agent stack, including identity, permissions, isolation, guardrails, logs, model formats, multi-model scanning, and secure coding workflows. The pitch is that cyber defenders need AI models they can read, change, and run on their own hardware, not only closed systems reached through a vendor's application programming interface (API). The launch also brings its first named technical contribution: NVIDIA-labs OO Agents (NOOA) , an Apache 2.0 research framework designed to make agent behavior easier to test, trace, audit, and govern. The laun...

Monday starts with the usual promise that everything is under control. Then the logs wake up. This week, trusted tools crossed lines, old flaws found new work, exposed systems stayed exposed, and attackers kept hiding inside normal-looking services. Nothing looked strange at first. That helped. That is the mood. Here is the full recap. ⚡ Threat of the Week OpenAI Says Its AI Agent Went Rogue and Targeted Hugging Face - OpenAI disclosed that it lost control of two AI models during a security evaluation that ended in a breach of Hugging Face. The AI company said its AI models broke out of a sealed testing environment and broke into Hugging Face's production system to find solutions for the ExploitGym benchmark. "The incident also makes clear that advanced models can discover and exploit novel attack paths in real-world systems without source-code access," OpenAI said. "It highlights that advanced cyber capabilities must be developed alongside stronger safegua...

For years, phishing campaigns targeting financial institutions followed the same playbook. Victims were tricked into entering usernames and passwords, attackers collected the credentials, and accounts were compromised later when an opportunity arose. That model is changing. Recent investigations into insurance-focused phishing operations reveal a more immediate approach. Instead of harvesting credentials for later use, attackers now synchronize their activity with victims in real time, authenticating against legitimate insurance portals as victims unknowingly complete the login process. The entire attack can unfold within a single browsing session. This shift highlights a broader trend across the cybersecurity landscape. As phishing campaigns become more sophisticated, simply identifying malicious websites and impersonation domains is no longer enough. Organizations increasingly need to understand the infrastructure, techniques, and operational workflows behind these attacks. ...

Cybersecurity researchers have disclosed a critical vulnerability in OpenAI's ChatGPT Workspace Agents that could have allowed a single phishing link to stealthily build, authorize, and deploy an autonomous artificial intelligence (AI) agent inside a victim's organization. The vulnerability has been codenamed AgentForger by Zenity Labs. The issue has since been addressed by OpenAI as of June 8, 2026, following responsible disclosure. "A single link could hijack OpenAI's ChatGPT Agent Builder to stand up an attacker-controlled AI agent with a real employee's access and its approvals switched off," the AI security company said in a two-part report shared with The Hacker News. The attack occurs when an unsuspecting employee clicks open a benign-looking ChatGPT link, causing it to spawn a new AI agent within the company's trust boundary that does the attacker's bidding. The issue is a case of cross-site request forgery (CSRF) that forges an attack...

AI agent security is moving through a familiar maturity curve: adoption, then visibility, and finally, control. But what we've collectively discovered is that enforcing least privilege for AI agents is harder than we ever imagined. This is why there are so many approaches, from prompt filtering to identity-layer access controls. Where we've collectively landed is that understanding the intent of AI agents is essential to securing them. It's not easy, but it's the only path forward. Organizations approach this challenge with different levels of sophistication. For many, the current goal is simply to find the AI agents already operating across the business. That is a necessary first step. AI agents are appearing in SaaS platforms, developer environments, cloud workflows, customer support systems, productivity tools, and internal applications. Some are sanctioned, and others are not. But discovery alone isn't useful. AI agents are not passive; they reason, plan, c...

Most of this week's trouble came dressed as something useful. A package stole data. A fake extension opened remote access. A safety app became spyware. An image gave hidden orders to an AI agent. Other threats hid in open systems, weak code, and normal network traffic. The threats change every week. Subscribe, and we’ll alert you when each new ThreatsDay Bulletin is out. The danger was easy to miss because it looked ordinary. Here is the full list:

The Chaos ransomware group ran its command-and-control through the victim's own browser. Cisco Talos on Thursday detailed msaRAT , the Rust implant behind it, found on a compromised Windows machine ahead of the encryptor. The implant never opens an outbound connection of its own. Its process talks to 127.0.0.1 and nothing else. It starts Chrome or Edge in headless mode and drives the browser over the Chrome DevTools Protocol, the browser's own debugging API. Every C2 message travels out from there through a WebRTC data channel relayed by Twilio's TURN service, so what a defender sees on the wire is a browser calling Cloudflare and Twilio. The attacker's own server address never appears at all. Chrome Does the Talking msaRAT looks for Chrome or Edge through environment variables first, then falls back to the registry for Chrome. If no matching browser is found, the CDP path is skipped. When it finds one, it starts the browser without a visible window using -...

An exposed Alibaba Cloud server has revealed a China-nexus operation that Group-IB tracks as JadeProx . The cluster has targeted government, healthcare, and education organizations across Asia and Latin America with a previously undocumented Windows loader called TriBack Loader. Group-IB found the server in mid-April 2026 in Alibaba Cloud's Singapore region; it was offline by the time the report published on July 23, 2026. Its bash history, phishing packages, post-exploitation tools, and webshell paths laid the operation out: active intrusions against a Vietnamese public hospital's medical imaging system and Malaysia's Ministry of Foreign Affairs, scanning and exploitation follow-up against Hong Kong education infrastructure, and a spear-phishing package addressed to the National Congress of Honduras. The operators reached the hospital's imaging server through webshells planted on an exposed Java management interface. One Loader, Four Builds TriBack Loader a...

Most people understand identity theft as an attacker stealing a real person's sensitive information and impersonating them. Synthetic identity fraud is much harder to catch. Instead of stealing a real identity, the attacker manufactures a new one, frankensteining together several real data points with fabricated ones to create a person who doesn't exist. Since no real victim monitors misuse, a fake identity can silently accumulate permissions and credibility over time before it's ever detected. This same principle has a largely unexplored parallel with Non-Human Identities (NHIs). Security teams are spending significant effort to protect NHIs from being stolen. Still, the machine-side equivalent of synthetic identity fraud is rarely discussed: identities that were never legitimately provisioned from the start. Following this approach, an attacker doesn't hijack an existing service account but instead fabricates one, blending real environmental attributes with fake o...

Cybersecurity researchers have shed light on a large-scale campaign that has turned compromised GitHub repositories into distributed attack infrastructure designed to target cPanel and WebHost Manager (WHM) instances. The activity involves malicious Packagist development versions spanning 10 packages associated with a legitimate PHP and DevOps developer, dinushchathurya, between July 12 and 13, 2026. The list of affected Packagist packages is below - dinushchathurya/nationality-list dinushchathurya/srilankan-divisional-secretariats dinushchathurya/srilankan-gn-divisions dinushchathurya/srilankan-local-authorities dinushchathurya/srilankan-mobile-number-validator dinushchathurya/srilankan-state-hospitals dinushchathurya/srilankan-universities dinushchathurya/uk-mobile-number-validator dinushchathurya/uk-post-code dinushchathurya/websmslk "The PHP libraries were not the execution path," Socket said in a statement. "Attackers had added...

RefluXFS , a Linux kernel flaw disclosed on July 22 and tracked as CVE-2026-64600 , lets an unprivileged local user overwrite root-owned files on an XFS filesystem and gain persistent root access. Qualys said default installations of Red Hat Enterprise Linux and its derivatives, Fedora Server, and Amazon Linux can meet the conditions for exploitation. The company demonstrated the race against /etc/passwd and setuid-root binaries. The overwrite lands at the block layer. It survives a reboot and leaves the target's ownership, permissions, timestamps, and setuid bit untouched, so a modified setuid-root binary still runs as root. The fix was merged on July 16, and Linux vendors have begun shipping backported kernels. The patch traces the bug to Linux 4.11 in 2017: a Fixes: tag naming commit 3c68d44a2b49 and a stable backport request marked # v4.11 . Who is exposed Exploitation requires three conditions: The system runs Linux 4.11 or later without the RefluXFS fix....

A high-severity security flaw impacting open-source developer platform Windmill has come under active exploitation in the wild, per VulnCheck. The vulnerability in question is CVE-2026-29059 (CVSS score: 7.5), a case of unauthenticated path traversal impacting Windmill's "get_log_file" endpoint ("/api/w/{workspace}/jobs_u/get_log_file/{filename}"). "The filename parameter is concatenated into a file path without sanitization, allowing an attacker to read arbitrary files on the server using ../ sequences," according to an advisory published by Windmill in March 2026. "The primary sensitive value exposed by this vulnerability is the SUPERADMIN_SECRET environment variable, readable via /proc/1/environ. When set, this secret can be used as a Bearer token to authenticate as a superadmin and execute arbitrary code through the job preview API." However, it's worth noting that SUPERADMIN_SECRET is not set by default, and for standalon...

OpenAI on Tuesday said a combination of its artificial intelligence (AI) models, including GPT-5.6 Sol and an "even more capable pre-release model," was behind the security incident that targeted Hugging Face's production infrastructure last week. The AI company said the models were operating with "reduced cyber refusals for evaluation purposes" that might otherwise limit their ability to conduct cyber attacks, adding it expects such incidents to "become more commonplace with the proliferation of increasingly cyber-capable models." Incidents like this may become more common. Subscribe, and we’ll alert you only when another major AI security story breaks. Describing it as an "unprecedented cyber incident" and one involving state-of-the-art cyber capabilities, OpenAI said it intends to conduct a thorough investigation in partnership with Hugging Face to get to the bottom of the matter. As part of an internal evaluation, the models...

The cycle is over. For years, cybersecurity followed a familiar pattern: defenses improved, attackers adapted, and the back-and-forth continued. Today, AI-equipped attackers are simply outpacing defenses. Most intrusions now bypass endpoint and malware-based detection entirely. The CrowdStrike Global Threat Report estimates around 79% of attacks are malware-free, as threat actors rely on credential theft and DLL side-load techniques to bypass host-level monitoring. Perimeter vulnerabilities compound this exposure; firewalls and VPN gateway breaches climbed 19% according to the latest Verizon Data Breach Investigations Report . Once an adversary gains access, breakout often occurs in seconds. Claude Mythos and similar models have further escalated operational pressure. These can rapidly discover and exploit previously unknown vulnerabilities, virtually closing the window from initial discovery to full compromise. Security practices must adapt to prioritize rapid containment and ...

German and US law enforcement have taken down the core infrastructure of Kratos , described by German investigators as one of the world's most widely used criminal phishing kits, and Indonesian authorities arrested the man they say developed and ran it. In a joint announcement on Monday, the Frankfurt public prosecutor's cybercrime unit (ZIT) and Germany's Federal Criminal Police Office (BKA) said they pulled more than 200 servers offline. Investigators estimate roughly 1,800 paying customers used Kratos to run about 15,000 phishing campaigns a month. Kratos harvested more than passwords. The kit was designed to steal the session cookie along with the login, and that cookie is enough to walk past two-factor authentication into the account as the user, the BKA said. ANY.RUN, which reverse-engineered the kit , found operators could pick one of two modes: a plain PHP page that only harvests credentials, or a Node.js reverse proxy designed to relay the login to Micros...

A single invisible comment in an Azure DevOps pull request can turn a reviewer's own AI coding agent against them, driving it into projects the attacker has no rights to reach and quietly leaking what it finds. The flaw is in Microsoft's official Azure DevOps MCP server , and it works because one of its tools returns pull request descriptions without a prompt-injection guardrail the company had already applied to others. Agentic Runtime Security firm Manifold Security detailed the confused-deputy bug this week. Microsoft ships the server so AI agents can read and operate Azure DevOps for a user, across pull requests, pipelines, wikis, and work items, all with the user's own permissions. That is the whole problem: content other people wrote can become instructions the agent acts on. Azure DevOps PR descriptions accept Markdown, which allows HTML comments. In the web UI, an HTML comment (<!-- ... -->) renders as nothing, so a reviewer scrolling the description s...