123 matches found
Threat Detection in Social Media Networks Using Machine Learning Based Network Analysis
The accelerated development of social media websites has posed intricate security issues in cyberspace, where these sites have increasingly become victims of criminal activities including attempts to intrude into them, abnormal traffic patterns, and organized attacks. The conventional rule-based...
Comparative Evaluation of VAE, GAN, and SMOTE for Tor Detection in Encrypted Network Traffic
Encrypted network traffic poses significant challenges for intrusion detection due to the lack of payload visibility, limited labeled datasets, and high class imbalance between benign and malicious activities. Traditional data augmentation methods struggle to preserve the complex temporal and...
EUVD-2025-199640
CGGMP24 is a state-of-art ECDSA TSS protocol that supports 1-round signing requires 3 preprocessing rounds, identifiable abort, and a key refresh protocol. In versions 0.6.3 and prior of cggmp21 and version 0.7.0-alpha.1 of cggmp24, presignatures can be used in the way that significantly reduces...
CVE-2025-66017
CVE-2025-66017 affects the CGGMP family (CGGMP21 and CGGMP24). The vulnerability arises from improper use of presignatures in specific configurations, allowing signature forgery or reduced security. Affected details indicate that in CGGMP21 <= 0.6.3 and CGGMP24
Adaptive Dual-Layer Web Application Firewall (ADL-WAF) Leveraging Machine Learning for Enhanced Anomaly and Threat Detection
Web Application Firewalls are crucial for protecting web applications against a wide range of cyber threats. Traditional Web Application Firewalls often struggle to effectively distinguish between malicious and legitimate traffic, leading to limited efficacy in threat detection. To overcome these...
DRsam: Detection of Fault-Based Microarchitectural Side-Channel Attacks in RISC-V Using Statistical Preprocessing and Association Rule Mining
RISC-V processors are becoming ubiquitous in critical applications, but their susceptibility to microarchitectural side-channel attacks is a serious concern. Detection of microarchitectural attacks in RISC-V is an emerging research topic that is relatively underexplored, compared to x86 and ARM...
CVE-2025-21052
Out-of-bounds write under specific condition in the pre-processing of JPEG decoding in libpadm.so prior to SMR Oct-2025 Release 1 allows local attackers to cause memory corruption...
CVE-2025-21052
Out-of-bounds write under specific condition in the pre-processing of JPEG decoding in libpadm.so prior to SMR Oct-2025 Release 1 allows local attackers to cause memory corruption...
CVE-2025-21051
Out-of-bounds write in the pre-processing of JPEG decoding in libpadm.so prior to SMR Oct-2025 Release 1 allows local attackers to write out-of-bounds memory...
CVE-2025-21052
The CVE-2025-21052 issue affects the libpadm.so library in Samsung Mobile devices, caused by an out-of-bounds write during the pre-processing stage of JPEG decoding. This vulnerability can lead to memory corruption when exploited locally. Affected versions are libpadm.so prior to SMR Oct-2025 Rel...
CVE-2025-21051
Out-of-bounds write in the pre-processing of JPEG decoding in libpadm.so prior to SMR Oct-2025 Release 1 allows local attackers to write out-of-bounds memory...
EUVD-2023-33018
Malicious code in bioql PyPI...
EUVD-2021-31502
Malicious code in bioql PyPI...
NVIDIA Megatron-LM msdp preprocessing script code injection vulnerability
NVIDIA Megatron-LM is a PyTorch-based distributed training framework from NVIDIA that specializes in training large Transformer language models. A code injection vulnerability exists in the NVIDIA Megatron-LM msdp preprocessing script, which can be exploited by attackers to cause code execution,...
CVE-2025-23353
NVIDIA Megatron-LM for all platforms contains a vulnerability in the msdp preprocessing script where malicious data created by an attacker may cause an injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, Information disclosure, and data...
Arbitrary Code Injection
Overview megatron-core is a Megatron Core - a library for efficient and scalable training of transformer based models Affected versions of this package are vulnerable to Arbitrary Code Injection via the msdp\preprocessing script. An attacker can execute arbitrary code and escalate privileges...
CVE-2025-23353
NVIDIA Megatron-LM for all platforms contains a vulnerability in the msdp preprocessing script where malicious data created by an attacker may cause an injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, Information disclosure, and data...
CVE-2025-23353
CVE-2025-23353 affects NVIDIA Megatron-LM across platforms due to a vulnerability in the msdp preprocessing script. The issue enables code injection that can lead to code execution, privilege escalation, information disclosure, and data tampering. Public details identify the affected component as...
CVE-2025-23353
NVIDIA Megatron-LM for all platforms contains a vulnerability in the msdp preprocessing script where malicious data created by an attacker may cause an injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, Information disclosure, and data...
CVE-2025-23353
NVIDIA Megatron-LM for all platforms contains a vulnerability in the msdp preprocessing script where malicious data created by an attacker may cause an injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, Information disclosure, and data...