1909 matches found
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation
Graph Neural Networks GNNs have become an effective tool for malware detection by capturing program execution through graph-structured representations. However, important challenges remain regarding scalability, interpretability, and the availability of reliable datasets. This paper brings togeth...
Adaptive Detection of Polymorphic Malware: Leveraging Mutation Engines and YARA Rules for Enhanced Security
Polymorphic malware continually alters its structure to evade signature-based defences, challenging both commercial antivirus AV and enterprise detection systems. This study introduces a reproducible framework for analysing eight polymorphic behaviours-junk code insertion, control-flow obfuscatio...
CVE-2025-33199: Always-Incorrect Control Flow Implementation
NVIDIA DGX Spark GB10 contains a vulnerability in SROOT firmware, where an attacker could cause incorrect control flow behavior. A successful exploit of this vulnerability might lead to data tampering...
EUVD-2023-60058
Screen SFT DAB 600/C firmware versions up to and including 1.9.3 contain an improper access control on the user management API allows unauthenticated requests to retrieve structured user data, including account names and connection metadata such as client IP and timeout values...
Siemens SIMATIC S7-1500 Always-Incorrect Control Flow Implementation (CVE-2024-56770)
net/sched: netem: The interface fully stops transferring packets and locks. In this case, the child qdisc and tfifo are empty, but 'qlen' indicates the tfifo is at its limit and no more packets are accepted. This plugin only works with Tenable.ot. Please visit...
CVE-2025-35963
Insufficient control flow management for some IntelR PROSet/Wireless WiFi Software for Windows before version 23.160 within Ring 2: Device Drivers may allow a denial of service. Unprivileged software adversary with an unauthenticated user combined with a low complexity attack may enable denial of...
The vulnerability of the Omnibox component in the Google Chrome browser allows a hacker to disclose protected information.
The vulnerability of the Omnibox component in the Google Chrome browser is related to the implementation of an incorrect control flow. Exploiting this vulnerability could allow a malicious actor to disclose protected information...
The vulnerability of the Omnibox component in the Google Chrome browser allows a hacker to disclose protected information.
The vulnerability of the Omnibox component in the Google Chrome browser is related to the implementation of an incorrect control flow. Exploiting this vulnerability could allow a malicious actor to disclose protected information...
Astra Linux – Vulnerability in Linux 6.12
In the Linux kernel, the following vulnerability has been resolved: drm/xe/guc: The CT safe mode is now exited explicitly during unwinding. During driver probes, we may briefly use the CT safe mode, which relies on delayed tasks. Usually, we can stop this once the IRQ functions properly. However,...
SUSE CVE-2022-50564
In the Linux kernel, the following vulnerability has been resolved: s390/netiucv: Fix return type of netiucvtx With clang's kernel control flow integrity kCFI, CONFIGCFICLANG, indirect call targets are validated against the expected function pointer prototype to make sure the call target is valid...
PT-2025-45464
Name of the Vulnerable Software and Affected Versions Google Chrome affected versions not specified Description A flaw exists in the Google Chrome Omnibox component related to improper control flow management. Successful exploitation could allow a remote attacker to disclose sensitive information...
EUVD-2022-55668
In the Linux kernel, the following vulnerability has been resolved: drm/meson: explicitly remove aggregate driver at module unload time Because componentmasterdel wasn't being called when unloading the mesondrm module, the aggregate device would linger forever in the global aggregatedevices list...
DEBIAN-CVE-2022-50564
In the Linux kernel, the following vulnerability has been resolved: s390/netiucv: Fix return type of netiucvtx With clang's kernel control flow integrity kCFI, CONFIGCFICLANG, indirect call targets are validated against the expected function pointer prototype to make sure the call target is valid...
CVE-2022-50564 s390/netiucv: Fix return type of netiucv_tx()
In the Linux kernel, the following vulnerability has been resolved: s390/netiucv: Fix return type of netiucvtx With clang's kernel control flow integrity kCFI, CONFIGCFICLANG, indirect call targets are validated against the expected function pointer prototype to make sure the call target is valid...
CVE-2022-50564
CVE-2022-50564 affects the Linux kernel on s390 where the netiucv_transmit path (netiucv_tx) has a return-type mismatch with the expected netdev_tx_t in the ndo_start_xmit operation. The description notes that with clang CFI (CONFIG_CFI_CLANG), an incompatible function pointer type between netiuc...
CVE-2025-62410
In versions before 20.0.2, it was found that --disallow-code-generation-from-strings is not sufficient for isolating untrusted JavaScript in happy-dom. The untrusted script and the rest of the application still run in the same Isolate/process, so attackers can deploy prototype pollution payloads ...
PT-2025-42391
Name of the Vulnerable Software and Affected Versions happy-dom versions prior to 20.0.2 Description The software does not sufficiently isolate untrusted JavaScript, even when using the --disallow-code-generation-from-strings flag. The untrusted script and the main application share the same...
happy-dom 安全漏洞
happy-dom is a JavaScript implementation of a web browser without a graphical user interface by the individual developer David Ortner. A security vulnerability exists in happy-dom prior to version 20.0.2, which stems from insufficient isolation and could lead to prototype pollution attacks and...
Bridging Semantics and Structure for Software Vulnerability Detection Using Hybrid Network Models
Software vulnerabilities remain a persistent risk, yet static and dynamic analyses often overlook structural dependencies that shape insecure behaviors. Viewing programs as heterogeneous graphs, we capture control- and data-flow relations as complex interaction networks. Our hybrid framework...