The Hacker News | #1 Trusted Source for Cybersecurity News — Index Page

A new, critical security vulnerability has been disclosed in the n8n workflow automation platform that, if successfully exploited, could result in the execution of arbitrary system commands. The flaw, tracked as CVE-2026-25049 (CVSS score: 9.4), is the result of inadequate sanitization that bypasses safeguards put in place to address CVE-2025-68613 (CVSS score: 9.9), another critical defect that was patched by n8n in December 2025. "Additional exploits in the expression evaluation of n8n have been identified and patched following CVE-2025-68613," n8n's maintainers said in an advisory released Wednesday. "An authenticated user with permission to create or modify workflows could abuse crafted expressions in workflow parameters to trigger unintended system command execution on the host running n8n." The issue affects the following versions - <1.123.17 (Fixed in 1.123.17) <2.5.2 (Fixed in 2.5.2)

Cybersecurity researchers have disclosed details of an active web traffic hijacking campaign that has targeted NGINX installations and management panels like Baota (BT) in an attempt to route it through the attacker's infrastructure. Datadog Security Labs said it observed threat actors associated with the recent React2Shell ( CVE-2025-55182 , CVSS score: 10.0) exploitation using malicious NGINX configurations to pull off the attack. "The malicious configuration intercepts legitimate web traffic between users and websites and routes it through attacker-controlled backend servers," security researcher Ryan Simon said. "The campaign targets Asian TLDs (.in, .id, .pe, .bd, .th), Chinese hosting infrastructure (Baota Panel), and government and educational TLDs (.edu, .gov)." The activity involves the use of shell scripts to inject malicious configurations into NGINX, an open-source reverse proxy and load balancer for web traffic management. These "locatio...

Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) systems. The tech giant's AI Security team said the scanner leverages three observable signals that can be used to reliably flag the presence of backdoors while maintaining a low false positive rate. "These signatures are grounded in how trigger inputs measurably affect a model's internal behavior, providing a technically robust and operationally meaningful basis for detection," Blake Bullwinkel and Giorgio Severi said in a report shared with The Hacker News. LLMs can be susceptible to two types of tampering: model weights, which refer to learnable parameters within a machine learning model that undergird the decision-making logic and transform input data into predicted outputs, and the code itself. Another type of attack is model poisoning, which occurs when a t...

Threat hunters have disclosed details of a new, stealthy malware campaign dubbed DEAD#VAX that employs a mix of "disciplined tradecraft and clever abuse of legitimate system features" to bypass traditional detection mechanisms and deploy a remote access trojan (RAT) known as AsyncRAT . "The attack leverages IPFS-hosted VHD files, extreme script obfuscation, runtime decryption, and in-memory shellcode injection into trusted Windows processes, never dropping a decrypted binary to disk," Securonix researchers Akshay Gaikwad, Shikha Sangwan, and Aaron Beardslee said in a report shared with The Hacker News. AsyncRAT is an open-source malware that provides attackers with extensive control over compromised endpoints, enabling surveillance and data collection through keylogging, screen and webcam capture, clipboard monitoring, file system access, remote command execution, and persistence across reboots. The starting point of the infection sequence is a phishing email...

Threat actors affiliated with China have been attributed to a fresh set of cyber espionage campaigns targeting government and law enforcement agencies across Southeast Asia throughout 2025. Check Point Research is tracking the previously undocumented activity cluster under the moniker Amaranth-Dragon , which it said shares links to the APT 41 ecosystem. Targeted countries include Cambodia, Thailand, Laos, Indonesia, Singapore, and the Philippines. "Many of the campaigns were timed to coincide with sensitive local political developments, official government decisions, or regional security events," the cybersecurity company said in a report shared with The Hacker News. "By anchoring malicious activity in familiar, timely contexts, the attackers significantly increased the likelihood that targets would engage with the content." The Israeli firm added that the attacks were "narrowly focused" and "tightly scoped," indicating efforts on the part o...

An innovative approach to discovering, analyzing, and governing identity usage beyond traditional IAM controls. The Challenge: Identity Lives Outside the Identity Stack Identity and access management tools were built to govern users and directories. Modern enterprises run on applications. Over time, identity logic has moved into application code, APIs, service accounts, and custom authentication layers. Credentials are embedded. Authorization is enforced locally. Usage patterns change without review. These identity paths often operate outside the visibility of IAM, PAM, and IGA. For security and identity teams, this creates a blind spot - what we call Identity Dark Matter. This dark matter is responsible for the identity risk that cannot be directly observed. Why Traditional Approaches Fall Short Most identity tools rely on configuration data and policy models. That works for managed users.

Many incident response failures do not come from a lack of tools, intelligence, or technical skills. They come from what happens immediately after detection, when pressure is high, and information is incomplete. I have seen IR teams recover from sophisticated intrusions with limited telemetry. I have also seen teams lose control of investigations they should have been able to handle. The difference usually appears early. Not hours later, when timelines are built, or reports are written, but in the first moments after a responder realizes something is wrong. Those early moments are often described as the first 90 seconds. However, taken too literally, that framing misses the point. This is not about reacting faster than an attacker or rushing to action. It is about establishing direction before assumptions harden and options disappear. Responders make quiet decisions right away, like what to look at first, what to preserve, and whether to treat the issue as a single system problem o...