Vulnerability | Breaking Cybersecurity News | The Hacker News

Beginning July 27, 2026, GitHub will cut public bug bounty payouts by at least half at every severity level. Critical findings will drop from $20,000-$30,000+ to a fixed $10,000, while its permanent invite-only VIP tier will pay $30,000 or more. Reports filed before that date, including those already in GitHub's growing triage queue, will retain the previous payout terms. GitHub said the changes are intended to reduce noise while giving established researchers faster responses, higher rewards, and closer access to its security engineering team. "You don't earn more by submitting more," the company said. "You earn more by submitting better." The public program is moving from flexible ranges to fixed payments: Low: $250, down from $617-$2,000 Medium: $2,000, down from $4,000-$10,000 High: $5,000, down from $10,000-$20,000 Critical: $10,000, down from $20,000-$30,000+ The Hacker News calculated that the new public rates are 50% lower f...

Cybersecurity researchers have disclosed details of a new local privilege escalation (LPE) vulnerability in snap-confine that an unprivileged user can trigger to obtain root access and gain complete control of a target environment. The high-severity flaw, tracked as CVE-2026-8933 (CVSS score: 7.8), impacts default installations of Ubuntu Desktop 24.04, 25.10, and 26.04. The disclosure comes as 442 security flaws in Linux have been publicized over the past three days. "The issue stems from a security hardening change that inadvertently introduced a race condition during sandbox initialization," Saeed Abbasi, head of Threat Research Unit (TRU) and director of product at Qualys, said. Snap-confine is a program used internally by snapd to construct the execution environment for snap applications. Snapd is the background service or daemon that manages snap packages on Linux systems. Snaps are nothing but a software packaging format devised by Canonical that allows an app...

Cybersecurity researchers have disclosed details of a now-patched vulnerability chain in the Adobe Acrobat Chrome extension that has over 314 million users, which, if exploited, could facilitate a silent hijack of a user's WhatsApp data. The shortcoming has been codenamed HermeticReader by Guardio Labs. It's officially tracked as CVE-2026-48294 (CVSS score: 7.4), with the vulnerability described as a case of universal cross-site scripting (UXSS)-class cross-origin data disclosure vulnerability. It affects all versions of the extension (ID: efaidnbmnnnibpcajpcglclefindmkaj ) prior to and including 26.5.2.2. Successful exploitation of the flaw can bypass the browser's same-origin policy and access data linked to the victim's session across origins. The only prerequisite is that it requires user interaction. A victim must be convinced into visiting a maliciously crafted URL or interact with a compromised web page that triggers the extension's vulnerable code ...

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...