Vulnerability | Breaking Cybersecurity News | The Hacker News

A malware operator left its delivery server wide open, and Rapid7 pulled down the whole toolkit: 1,048 files spanning lure templates, filename-spoofing tests, execution experiments, droppers, builder notes, and two campaign chains. One was already live against Windows users in Mexico, delivering an infostealer through a fake government ID-lookup site over WebDAV. What makes it more than a payload dump: it caught the operation mid-build. Testing notes, failed experiments, documentation, and live delivery logs sat in one place, the kind of complete development trail defenders rarely see. Rapid7 reads the artifacts, down to a hardcoded path pointing at an open-source AI coding tool, as an operator using generative AI to produce, test, and document phishing delivery at speed. The most developed test set focused on CVE-2025-33053 (CVSS 8.8, now in CISA's KEV catalog ), the WebDAV working-directory hijack Check Point documented last year in its Stealth Falcon reporting. The...

A single request should not be able to do this much. But this week, small inputs led to code execution, memory loss, stolen keys, and disabled security tools. The paths were often simple: exposed systems, weak checks, old drivers, fake prompts, and public code used for malware delivery. Some bugs were new. Others were already being used before defenders had time to patch. Here is the full recap of what broke, what was exploited, and what needs attention now. ⚡ Threat of the Week New wp2shell WordPress Core Flaw Lets Unauthenticated Attackers Run Code - Searchlight Cyber disclosed a pre-authenticated remote code execution vulnerability in WordPress Core that can be exploited anonymously on a standard WordPress installation, without requiring any plugins or other special conditions. It is a combination of CVE-2026-63030 (REST API batch-route confusion) and CVE-2026-60137 (SQL injection in WordPress core) that can be chained to turn an anonymous request into code execution. wa...

At least one Russian intelligence service is systematically hijacking internet-connected security cameras across Europe and Ukraine, using the feeds to watch military transport routes, weapons shipments bound for Kyiv , and the locations of Ukrainian troops. That is the finding of a cybersecurity advisory published July 10 by the AIVD and MIVD, the Netherlands' civilian and military intelligence services, which describe the operation as ongoing. In Ukraine, the surveillance has not stayed passive. Camera access there has been "used in attempts to neutralise Ukrainian military personnel" and destroy their equipment, the services say, turning an exposed roadside or business camera into a targeting aid. Across EU and NATO states, the services add, the same camera access is also collecting military intelligence that has nothing to do with the war. Getting in is rarely the hard part. The operators scan the internet for exposed devices, fingerprint IP cameras by bran...

Opening a crafted XZ archive in 7-Zip could let an attacker run code on the machine. The flaw, CVE-2026-14266 , is a heap-based buffer overflow in how the archiver processes XZ chunked data, and Trend Micro's Zero Day Initiative (ZDI) detailed it on July 15. A fix shipped on June 25 in 7-Zip 26.02 . The overflow lets an attacker "execute code in the context of the current process," per the advisory. The code runs with the token 7-Zip itself holds and gains no privileges of its own. On Windows, a normally launched 7-Zip runs under a filtered standard-user token even on an administrator account, so the attacker inherits those limited rights unless the program was started elevated. The bug came in from Landon Peng of Lunbun LLC, who reported it to 7-Zip on June 5. ZDI rates the flaw 7.0, or High, not the Critical several write-ups reached for. The full CVSS 3.0 vector is AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H . The AV:L makes it a local attack vector, not a network-re...

In an ironic twist, open-source artificial intelligence (AI) platform Hugging Face revealed that it was the victim of a hack perpetrated by an autonomous AI agent system. The company said it detected and responded to the incident targeting its production infrastructure earlier last week. "We identified unauthorized access to a limited set of internal datasets and to several credentials used by our services," the company said in a statement. While an investigation into the intrusion remains ongoing, Hugging Face said it has found no evidence that the AI agent tampered with public, user-facing models, datasets, or Spaces, and its own software supply chain. The starting point of the attack was the data processing pipeline itself, with a malicious dataset abusing two code execution paths, viz., in its remote code dataset loader and a template injection in a dataset configuration, to run code on a processing worker.