1492 matches found
CVE-2025-38055 perf/x86/intel: Fix segfault with PEBS-via-PT with sample_freq
In the Linux kernel, the following vulnerability has been resolved: perf/x86/intel: Fix segfault with PEBS-via-PT with samplefreq Currently, using PEBS-via-PT with a sample frequency instead of a sample period, causes a segfault. For example: BUG: kernel NULL pointer dereference, address:...
CVE-2025-38055
CVE-2025-38055 affects the Linux kernel (perf/x86/intel) where PEBS-via-PT with a sample_freq could trigger a NULL pointer dereference due to intel_pmu_pebs_event_update_no_drain() misinterpreting pebs_enabled bits as counter indexes. The issue arises when bits 60/61 are set for PEBS-via-PT, and ...
CVE-2025-6139
A vulnerability, which was classified as problematic, has been found in TOTOLINK T10 4.1.8cu.5207. Affected by this issue is some unknown functionality of the file /etc/shadow.sample. The manipulation leads to use of hard-coded password. The attack can only be initiated within the local network...
Astra Linux – Vulnerability in Linux 6.12
In the Linux kernel, the following vulnerability has been resolved: perf/x86/intel: The segfault caused by PEBS-via-PT with a sample frequency has been fixed. Currently, using PEBS-via-PT with a sample frequency instead of a sample period causes a segfault. For example: BUG: Kernel NULL pointer...
Astra Linux – Vulnerability in gst-plugins-good1.0
GStreamer is a library for constructing graphs of media-handling components. A OOB-read vulnerability has been discovered in the qtdemuxMergeSampleTable function within qtdemux.c. The issue arises from the fact that the size of the stts buffer is not properly checked before reading sttsDuration,...
TOTOLINK T10 安全漏洞
TOTOLINK T10 is a wireless network system router from China's Gion Electronics TOTOLINK. The TOTOLINK T10 suffers from a trust management issue vulnerability that stems from the use of hard-coded passwords in the file /etc/shadow.sample. An attacker could exploit the vulnerability to cause...
Quantifying Mix Network Privacy Erosion with Generative Models
Modern mix networks improve over Tor and provide stronger privacy guarantees by robustly obfuscating metadata. As long as a message is routed through at least one honest mixnode, the privacy of the users involved is safeguarded. However, the complexity of the mixing mechanisms makes it difficult ...
Vulnerability of the zpa2326_fill_sample_buffer() function in the drivers/iio/pressure/zpa2326.c module – This driver supports various types of built-in sensors in the Linux operating system. An attacker can exploit this vulnerability to gain access to protected information or cause service failures.
Vulnerability of the zpa2326fillsamplebuffer function in the drivers/iio/pressure/zpa2326.c module – The driver for supporting various types of embedded sensors in the Linux operating system involves the use of an uninitialized resource. Exploiting this vulnerability could allow an attacker to...
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
Estimating the density of a distribution from its samples is a fundamental problem in statistics. Hypothesis selection addresses the setting where, in addition to a sample set, we are given $n$ candidate distributions -- referred to as hypotheses -- and the goal is to determine which one best...
MAL-2025-4591 Malicious code in openkitjs-simple-sample (npm)
The package communicates with a domain associated with malicious activity. --- -= Per source details. Do not edit below this line.=- Source: ossf-package-analysis b86b90f2ffa63945be2355f5639543a032f0a57ea59dabe377573e35e9d6507b The OpenSSF Package Analysis project identified...
Malicious code in openkitjs-simple-sample (npm)
The package communicates with a domain associated with malicious activity. --- -= Per source details. Do not edit below this line.=- Source: ossf-package-analysis b86b90f2ffa63945be2355f5639543a032f0a57ea59dabe377573e35e9d6507b The OpenSSF Package Analysis project identified...
MUSE: Model-Agnostic Tabular Watermarking Via Multi-Sample Selection
We introduce MUSE, a watermarking algorithm for tabular generative models. Previous approaches typically leverage DDIM invertibility to watermark tabular diffusion models, but tabular diffusion models exhibit significantly poorer invertibility compared to other modalities, compromising performanc...
MLRan: a Behavioural Dataset for Ransomware Analysis and Detection
Ransomware remains a critical threat to cybersecurity, yet publicly available datasets for training machine learning-based ransomware detection models are scarce and often have limited sample size, diversity, and reproducibility. In this paper, we introduce MLRan, a behavioural ransomware dataset...
CVE-2024-7216
A vulnerability was found in TOTOLINK LR1200 9.3.1cu.2832. It has been classified as problematic. This affects an unknown part of the file /etc/shadow.sample. The manipulation leads to use of hard-coded password. The complexity of an attack is rather high. The exploitability is told to be...
CVE-2024-50665
gpac 2.4 contains a SEGV at src/isomedia/drmsample.c:1562:96 in isomcencgetsaibysaizsaio in MP4Box...
CVE-2023-0587
A file upload vulnerability in exists in Trend Micro Apex One server build 11110. Using a malformed Content-Length header in an HTTP PUT message sent to URL /officescan/console/html/cgi/fcgiOfcDDA.exe, an unauthenticated remote attacker can upload arbitrary files to the SampleSubmission directory...
CVE-2022-40111
In TOTOLINK A3002R TOTOLINK-A3002R-He-V1.1.1-B20200824.0128 in the shadow.sample file, root is hardcoded in the firmware...
CVE-2022-32558
An issue was discovered in Couchbase Server before 7.0.4. Sample bucket loading may leak internal user passwords during a failure...
CVE-2021-39515
An issue was discovered in libjpeg through 2020021. A NULL pointer dereference exists in the function SampleInterleavedLSScan::ParseMCU located in sampleinterleavedlsscan.cpp. It allows an attacker to cause Denial of Service...
CVE-2020-3661
Buffer overflow will happen while parsing mp4 clip with corrupted sample atoms values which exceeds MAXUINT32 range due to lack of validation checks in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon...