MAL-2025-17345 Malicious code in com.microsoft.mixedreality.worldlockingsamples (npm)

The package com.microsoft.mixedreality.worldlockingsamples was found to contain malicious code...

MAL-2025-17342 Malicious code in com.microsoft.mixedreality.webrtc.samples (npm)

The package com.microsoft.mixedreality.webrtc.samples was found to contain malicious code...

MAL-2025-17344 Malicious code in com.microsoft.mixedreality.wlt.asa.samples (npm)

The package com.microsoft.mixedreality.wlt.asa.samples was found to contain malicious code...

Demystifying the Role of Rule-Based Detection in AI Systems for Windows Malware Detection

Malware detection increasingly relies on AI systems that integrate signature-based detection with machine learning. However, these components are typically developed and combined in isolation, missing opportunities to reduce data complexity and strengthen defenses against adversarial EXEmples,...

Secure Development of a Hooking-Based Deception Framework against Keylogging Techniques

Keyloggers remain a serious threat in modern cybersecurity, silently capturing user keystrokes to steal credentials and sensitive information. Traditional defenses focus mainly on detection and removal, which can halt malicious activity but do little to engage or mislead adversaries. In this pape...

SUSE CVE-2025-48073

OpenEXR provides the specification and reference implementation of the EXR file format, an image storage format for the motion picture industry. In version 3.3.2, when reading a deep scanline image with a large sample count in reduceMemory mode, it is possible to crash a target application with a...

DUP: Detection-Guided Unlearning for Backdoor Purification in Language Models

As backdoor attacks become more stealthy and robust, they reveal critical weaknesses in current defense strategies: detection methods often rely on coarse-grained feature statistics, and purification methods typically require full retraining or additional clean models. To address these challenges...

RHSA-2023:7772

creationtimestamp| type| source ---|---|--- 2025-08-01 15:49:22+00:00| seen| Telegram/vqMv-pw9KY3Z5TMAkCKFJ81O0KEk3Kk9SHClQG6teUoaj50 2025-08-02 14:50:53+00:00| seen| Telegram/O48YTDst3MKwqXTmoA7eKUU-Al4YKF5xmz2EhGo0DjbdKvM 2025-08-02 17:49:06+00:00| seen|...

UBUNTU-CVE-2025-48073

OpenEXR provides the specification and reference implementation of the EXR file format, an image storage format for the motion picture industry. In version 3.3.2, when reading a deep scanline image with a large sample count in reduceMemory mode, it is possible to crash a target application with a...

NULL Pointer Dereference

Overview Affected versions of this package are vulnerable to NULL Pointer Dereference via the ScanLineProcess::runfill function when processing deep scanline images with large sample counts in reduceMemory mode. An attacker can cause the application to crash by providing a specially crafted image...

OpenEXR 代码问题漏洞

OpenEXR is a high dynamic range image file format designed for the movie industry. A null pointer dereference vulnerability exists in OpenEXR version 3.3.2 when reading a deep scanline image containing a large number of sample points in reduceMemory mode, which stems from a null pointer exception...

SUSE CVE-2025-38478

In the Linux kernel, the following vulnerability has been resolved: comedi: Fix initialization of data for instructions that write to subdevice Some Comedi subdevice instruction handlers are known to access instruction data elements beyond the first insn-n elements in some cases. The doinsnioctl...

DEBIAN-CVE-2025-38480

In the Linux kernel, the following vulnerability has been resolved: comedi: Fix use of uninitialized data in insnrwemulatebits For Comedi INSNREAD and INSNWRITE instructions on "digital" subdevices subdevice types COMEDISUBDDI, COMEDISUBDDO, and COMEDISUBDDIO, it is common for the subdevice drive...

UBUNTU-CVE-2025-38478

In the Linux kernel, the following vulnerability has been resolved: comedi: Fix initialization of data for instructions that write to subdevice Some Comedi subdevice instruction handlers are known to access instruction data elements beyond the first insn-n elements in some cases. The doinsnioctl...

Exploit for Use After Free in Adobe Flash_Player

APTREPORT collected by @blackorbird https://x.com/blackorbird Interesting apt report & sample & malware & technology & intellegence collection APT Group for country Threat Actor Groups Tracked by Palo Alto Networks Unit 42...

DEBIAN-CVE-2025-38424

In the Linux kernel, the following vulnerability has been resolved: perf: Fix sample vs doexit Baisheng Gao reported an ARM64 crash, which Mark decoded as being a synchronous external abort -- most likely due to trying to access MMIO in bad ways. The crash further shows perf trying to do a user...

PT-2025-31075

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description The Linux kernel contains a flaw in Comedi subdevice instruction handlers where data elements beyond the first insn-n elements may be accessed in certain cases. The do insn ioctl and do...

Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG

Malware Family Classification MFC aims to identify the fine-grained family e.g., GuLoader or BitRAT to which a potential malware sample belongs, in contrast to malware detection or sample classification that predicts only an Yes/No. Accurate family identification can greatly facilitate automated...

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-Of-Distribution Trap Is All You Need

Data-free knowledge distillation DFKD transfers knowledge from a teacher to a student without access the real in-distribution ID data. Its common solution is to use a generator to synthesize fake data and use them as a substitute for real ID data. However, existing works typically assume teachers...

Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers

Deep Neural Networks DNNs are notoriously vulnerable to adversarial input designs with limited noise budgets. While numerous successful attacks with subtle modifications to original input have been proposed, defense techniques against these attacks are relatively understudied. Existing defense...