PT-2026-24949

In Progress Flowmon ADS versions prior to 12.5.5 and 13.0.3, a vulnerability exists whereby an adversary with access to Flowmon monitoring ports may craft malicious network data that, when processed by Flowmon ADS and viewed by an authenticated user, could result in unintended actions being...

Internet-Scale Measurement of React2Shell Exploitation Using an Active Network Telescope

The increasing adoption of server-side component-based web frameworks has introduced new application-layer attack surfaces that remain insufficiently understood at Internet scale. On 3 December 2025, a critical remote code execution vulnerability CVE-2025-55182 in React Server Components, referre...

📄 SPIP CMS Analysis Scanner Script

This is an exploitation tool designed for websites running the SPIP CMS versions 5.4.0 through 5.11.0. The tool performs automated detection and enumeration of SPIP installations, identifies installed plugins, attempts to determine plugin versions, and searches for forms using the saisies plugin...

On the Possible Detectability of Image-In-Image Steganography

This paper investigates the detectability of popular imagein-image steganography schemes 1, 2, 3, 4, 5. In this paradigm, the payload is usually an image of the same size as the Cover image, leading to very high embedding rates. We first show that the embedding yields a mixing process that is...

Rapid7 Detection Coverage for Iran-Linked Cyber Activity

The tension arising out of the conflict in Iran is beginning to show signs of expanding beyond a strictly regional crisis. Following our recent published advisories, this communication is intended to outline and summarize the detection and enrichment coverage available to Rapid7 customers, broadl...

How Hive Pro Brings Comprehensive Security to  CrowdStrike and SentinelOne

& How HivePro Vulnerability Exposure Management VEM extends and amplifies the value of your existing endpoint security/EDR investments - turning detection strength into enterprise-wide vulnerability and exposure intelligence. The Challenge Your EDR is world-class. Your exposure visibility isn't...

Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks

Adversarial examples can represent a serious threat to machine learning ML algorithms. If used to manipulate the behaviour of ML-based Network Intrusion Detection Systems NIDS, they can jeopardize network security. In this work, we aim to mitigate such risks by increasing the robustness of NIDS...

Security update for coredns (important)

openSUSE Security Update: Security update for coredns Announcement ID: openSUSE-SU-2026:0080-1 Rating: important References: 1255345 1259319 1259320 Cross-References: CVE-2025-68156 CVE-2026-26017 CVE-2026-26018 CVSS scores: CVE-2025-68156 SUSE: 8.7...

Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing

In modern transportation networks, adversaries can manipulate routing algorithms using false data injection attacks, such as simulating heavy traffic with multiple devices running crowdsourced navigation applications, to mislead vehicles toward suboptimal routes and increase congestion. To addres...

D-SLAMSpoof: An Environment-Agnostic LiDAR Spoofing Attack Using Dynamic Point Cloud Injection

In this work, we introduce Dynamic SLAMSpoof D-SLAMSpoof, a novel attack that compromises LiDAR SLAM even in feature-rich environments. The attack leverages LiDAR spoofing, which injects spurious measurements into LiDAR scans through external laser interference. By designing both spatial injectio...

Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape

The expansion of Internet of Things IoT devices has increased the attack surface of networks, necessitating a robust and adaptive intrusion detection systems. Machine learning based systems have been considered promising in enhancing the detection performance. Federated learning settings enabled ...

EUVD-2026-10894

file-type affected by infinite loop in ASF parser on malformed input with zero-size sub-header...

GHSA-5V7R-6R5C-R473 file-type affected by infinite loop in ASF parser on malformed input with zero-size sub-header

Impact A denial of service vulnerability exists in the ASF WMV/WMA file type detection parser. When parsing a crafted input where an ASF sub-header has a size field of zero, the parser enters an infinite loop. The payload value becomes negative -24, causing tokenizer.ignorepayload to move the rea...

CVE-2026-31808

file-type detects the file type of a file, stream, or data. Prior to 21.3.1, a denial of service vulnerability exists in the ASF WMV/WMA file type detection parser. When parsing a crafted input where an ASF sub-header has a size field of zero, the parser enters an infinite loop. The payload value...

CVE-2026-31808 file-type affected by infinite loop in ASF parser on malformed input with zero-size sub-header

file-type detects the file type of a file, stream, or data. Prior to 21.3.1, a denial of service vulnerability exists in the ASF WMV/WMA file type detection parser. When parsing a crafted input where an ASF sub-header has a size field of zero, the parser enters an infinite loop. The payload value...

CVE-2026-31808

file-type detects the file type of a file, stream, or data. Prior to 21.3.1, a denial of service vulnerability exists in the ASF WMV/WMA file type detection parser. When parsing a crafted input where an ASF sub-header has a size field of zero, the parser enters an infinite loop. The payload value...

CVE-2026-31808 file-type affected by infinite loop in ASF parser on malformed input with zero-size sub-header

file-type detects the file type of a file, stream, or data. Prior to 21.3.1, a denial of service vulnerability exists in the ASF WMV/WMA file type detection parser. When parsing a crafted input where an ASF sub-header has a size field of zero, the parser enters an infinite loop. The payload value...

GO-2026-4635 CoreDNS Loop Detection Denial of Service Vulnerability in github.com/coredns/coredns

CoreDNS Loop Detection Denial of Service Vulnerability in github.com/coredns/coredns...

Exploit for CVE-2026-27944

Nginx UI Discovery Scanner - CVE-2026-27944 Version Detector ht...

From Shadow Models to Audit-Ready AI Security: A Practical Path with Qualys TotalAI

Key Takeaways AI security demands a paradigm shift, treating models, endpoints, and integrations as dynamic attack surfaces requiring continuous governance. Inventory-driven visibility is foundational to managing AI sprawl, uncovering hidden assets, and aligning security with innovation velocity...