Vulnerability | Breaking Cybersecurity News | The Hacker News

An unreleased Anthropic AI model found security flaws in Chrome, Safari, Android, Windows, and Linux and chained them into working proof-of-concept exploits, the company said in its latest report. The exploits were built in the lab after the model was prompted, not seen in any real attack, and Anthropic reported every flaw to the vendor first, so all of them are already patched. One proof of concept opened the Calculator app on a stock Mac running Chrome within seconds of a page loading, with no further clicks. Anthropic's Frontier Red Team described five chains in a research post. The strongest claim is not any single bug, but that one model found several separate flaws and combined them into a working exploit, something the company says has until now been the work of a few specialist teams. That capability claim rests on Anthropic's own account. The patches and the fact that Apple and Google credit Anthropic and its Claude model for specific fixes can be verified with...

Tailscale has released  version 1.104.4  to fix flaws in its built-in SSH server that could let an attacker reach services and files on other servers that only the root user should be able to touch. The flaws are in how Tailscale SSH forwards network connections, a job the Tailscale background process carries out with root privileges. To use them, an attacker must already control a device that the network's access rules permit to open an SSH session to the target, with forwarding allowed in that rule. The flaws come from a report called  Tailworm , published days before the fix by Erica Windisch of Cyberdione Labs, who tested released versions of the Tailscale client and the self-hosted headscale control server in a lab. Tailscale SSH decides who can connect using a device's identity and the network's policy file, not a password or key, so an attacker does not need stolen credentials, only a foothold on a device the policy already trusts. The ...

The critical Oracle PeopleSoft bug that ShinyHunters has exploited since May is not one flaw but three chained together, the researchers who reported it said this week. Oracle patched all three under a single identifier,  CVE-2026-35273 , in June. Its root is a server-side request forgery (SSRF) that reaches an internal management interface because PeopleSoft trusts its own loopback address by default, opening the door to remote code execution without a login. The breakdown comes from Bobby Gould of the Zero Day Initiative (ZDI), whose team reported the flaw to Oracle. In  its analysis , ZDI said it reported three distinct vulnerabilities across two PeopleSoft components, and that it is working with Oracle to assign a separate CVE to each. As of this week, the one June identifier is still the only one on the record. CVE-2026-35273 affects PeopleSoft Enterprise PeopleTools versions 8.61 and 8.62, carries a CVSS score of 9.8, and lets an unauthenticated attacker take o...

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday added two vulnerabilities impacting Adobe Commerce and Magento, and Google's Brotli decoder library to its Known Exploited Vulnerabilities ( KEV ) catalog, citing evidence of active exploitation. The vulnerabilities are listed below - CVE-2026-111497 (CVSS score: 9.2) - An unchecked return value vulnerability in Google Brotli that could allow a remote unauthenticated attacker to corrupt adjacent decoder state memory, disclose sensitive memory contents, cause a denial-of-service, or potentially execute arbitrary code using a crafted Brotli-compressed stream. CVE-2026-48356 (CVSS score: 9.3) - An unrestricted upload of a file with dangerous type vulnerability in Adobe Commerce and Magento that could result in arbitrary code execution in the context of the current user, potentially gaining elevated access or control over the victim's account or session. The development comes days after Sans...

Cybersecurity researchers have disclosed details of three cyber attacks targeting organizations in Japan in which artificial intelligence (AI) was a key element, either in the driving seat or to assist a human operator. TrendAI, which analyzed three exposed server environments used by threat actors to conduct the malicious cyber operations, described them as distinct from previously published attacks that have leveraged ARTEX , an autonomous AI penetration testing framework, to single out entities in South Korea and Japan. "These environments held reconnaissance and attack tools, scripts, target lists, results, logs, and command histories," security researchers Bakuei Matsukawa and Joseph C Chen said. "They ranged from workspaces used largely by hand by skilled operators to AI-agent platforms that automated the entire workflow, including command and control." The first of the three attacks has been found to abuse CyberStrikeAI , another open-source penetra...