CVE-2025-13320 WP User Manager <= 2.9.12 - Authenticated (Subscriber+) Arbitrary File Deletion via 'current_user_avatar' Parameter

The WP User Manager plugin for WordPress is vulnerable to Arbitrary File Deletion in all versions up to, and including, 2.9.12. This is due to insufficient validation of user-supplied file paths in the profile update functionality combined with improper handling of array inputs by PHP's filterinp...

CVE-2025-13320 WP User Manager <= 2.9.12 - Authenticated (Subscriber+) Arbitrary File Deletion via 'current_user_avatar' Parameter

The WP User Manager plugin for WordPress is vulnerable to Arbitrary File Deletion in all versions up to, and including, 2.9.12. This is due to insufficient validation of user-supplied file paths in the profile update functionality combined with improper handling of array inputs by PHP's filterinp...

CVE-2025-13320

CVE-2025-13320 : WP User Manager for WordPress is vulnerable to Authenticated Arbitrary File Deletion via the current_user_avatar parameter in profile updates. The issue arises from insufficient validation of user-supplied file paths and improper handling of array inputs in PHP, enabling attacker...

Defining Cost Function of Steganography with Large Language Models

In this paper, we make the first attempt towards defining cost function of steganography with large language models LLMs, which is totally different from previous works that rely heavily on expert knowledge or require large-scale datasets for cost learning. To achieve this goal, a two-stage...

Towards Small Language Models for Security Query Generation in SOC Workflows

Analysts in Security Operations Centers routinely query massive telemetry streams using Kusto Query Language KQL. Writing correct KQL requires specialized expertise, and this dependency creates a bottleneck as security teams scale. This paper investigates whether Small Language Models SLMs can...

Shai Hulud 2.0, now with a wiper flavor

In September, a new breed of malware distributed via compromised Node Package Manager npm packages made headlines. It was dubbed "Shai-Hulud", and we published an in-depth analysis of it in another post. Recently, a new version was discovered. Shai Hulud 2.0 is a type of two-stage worm-like malwa...

A Reality Check on SBOM-Based Vulnerability Management: An Empirical Study and a Path Forward

The Software Bill of Materials SBOM is a critical tool for securing the software supply chain SSC, but its practical utility is undermined by inaccuracies in both its generation and its application in vulnerability scanning. This paper presents a large-scale empirical study on 2,414 open-source...

LogPurge: Log Data Purification for Anomaly Detection Via Rule-Enhanced Filtering

Log anomaly detection, which is critical for identifying system failures and preempting security breaches, detects irregular patterns within large volumes of log data, and impacts domains such as service reliability, performance optimization, and database log analysis. Modern log anomaly detectio...

CVE-2017-20201

CCleaner v5.33.6162 and CCleaner Cloud v1.07.3191 32-bit builds contained a malicious pre-entry-point loader that diverts execution from scrtcommonmainseh into a custom loader. That loader decodes an embedded blob into shellcode, allocates executable heap memory, resolves Windows API functions at...

CVE-2017-20201

CCleaner v5.33.6162 and CCleaner Cloud v1.07.3191 32-bit builds contained a malicious pre-entry-point loader that diverts execution from scrtcommonmainseh into a custom loader. That loader decodes an embedded blob into shellcode, allocates executable heap memory, resolves Windows API functions at...

EUVD-2025-33278

CCleaner v5.33.6162 and CCleaner Cloud v1.07.3191 32-bit builds contained a malicious pre-entry-point loader that diverts execution from scrtcommonmainseh into a custom loader. That loader decodes an embedded blob into shellcode, allocates executable heap memory, resolves Windows API functions at...

PT-2025-41312

Name of the Vulnerable Software and Affected Versions CCleaner versions 5.33.6162 CCleaner Cloud versions 1.07.3191 Description CCleaner and CCleaner Cloud contained a malicious pre-entry-point loader that redirects execution to a custom loader. This loader decodes an embedded blob into shellcode...

Are LLMs Reliable Rankers? Rank Manipulation Via Two-Stage Token Optimization

Large language models LLMs are increasingly used as rerankers in information retrieval, yet their ranking behavior can be steered by small, natural-sounding prompts. To expose this vulnerability, we present Rank Anything First RAF, a two-stage token optimization method that crafts concise textual...

Benchmarking LLM-Assisted Blue Teaming Via Standardized Threat Hunting

As cyber threats continue to grow in scale and sophistication, blue team defenders increasingly require advanced tools to proactively detect and mitigate risks. Large Language Models LLMs offer promising capabilities for enhancing threat analysis. However, their effectiveness in real-world blue...

How Far Are We? an Empirical Analysis of Current Vulnerability Localization Approaches

Open-source software vulnerability patch detection is a critical component for maintaining software security and ensuring software supply chain integrity. Traditional manual detection methods face significant scalability challenges when processing large volumes of commit histories, while being...

A Survey and Evaluation Framework for Secure DNS Resolution

Since security was not among the original design goals of the Domain Name System herein called Vanilla DNS, many secure DNS schemes have been proposed to enhance the security and privacy of the DNS resolution process. Some proposed schemes aim to replace the existing DNS infrastructure entirely,...

Asymmetry Vulnerability and Physical Attacks on Online Map Construction for Autonomous Driving

High-definition maps provide precise environmental information essential for prediction and planning in autonomous driving systems. Due to the high cost of labeling and maintenance, recent research has turned to online HD map construction using onboard sensor data, offering wider coverage and mor...

Developing a Transferable Federated Network Intrusion Detection System

Intrusion Detection Systems IDS are a vital part of a network-connected device. In this paper, we develop a deep learning based intrusion detection system that is deployed in a distributed setup across devices connected to a network. Our aim is to better equip deep learning models against unknown...

Membership Inference Attack with Partial Features

Machine learning models have been shown to be susceptible to membership inference attack, which can be used to determine whether a given sample appears in the training data. Existing membership inference methods commonly assume that the adversary has full access to the features of the target...

MAL-2025-191729 Malicious code in flashsimplelogger (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 8c4753ee44e481f1f689cfaeddcddaef8dcdf86fbb1db19b3fe0acc2fadac305 It's a clone of "loguru" package which on import loads a second-stage script from loguru.guru. This makes a few checks and downloads the next stage, which is a...