| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| PassMark PerformanceTest before 11.1 build 1012, BurnInTest before 11.1 build 1000, and OSForensics before 11.1 build 1016 contain a hard-coded credentials vulnerability in DirectIo64.sys that allows local attackers to perform arbitrary physical memory writes by extracting an 8-byte key embedded as a hardcoded literal in the distributed binary and computing valid MD5 authentication tags for arbitrary IOCTL write requests. Attackers can additionally bypass a secondary validation gate by using the driver's own bit-clear IOCTL to clear a single bit in the gating instruction's displacement byte, causing all subsequent write requests to skip MAC verification, size checks, and Vendor ID checks entirely. |
| Dell PowerStore contains a Protection Mechanism Failure vulnerability. An authenticated user with limited privileges could potentially exploit this vulnerability to bypass access restrictions and gain escalated privileges. |
| Next.js is a React framework for building full-stack web applications. From 13.4.0 until 15.5.24 and 16.3.3, Next.js applications using Pages Router or App Router without Cache Components on Windows-hosted servers do not consistently escape backslashes in route segments before constructing incremental-cache paths. In packages/next/src/shared/lib/router/utils/escape-path-delimiters.ts and packages/next/src/server/lib/incremental-cache/file-system-cache.ts, a remote request can supply encoded Windows path separators that traverse outside the intended cache root and expose private build data, including the server-reference-manifest encryption key. Disclosure of that key can enable remote code execution in the affected application. This issue is fixed in versions 15.5.24 and 16.3.3. |
| XING CPTrans-ME-X contains a Use of Default Password (CWE-1393). Anyone with the knowledge of the credential may log in to the affected device. |
| Dell PowerStore, an Incorrect Authorization vulnerability. A low privileged attacker with remote access could potentially exploit this vulnerability, leading to Elevation of privileges. |
| Memory Allocation with Excessive Size Value (CWE-789) in the ES|QL query processing of Elasticsearch can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user able to submit ES|QL queries could send a specially crafted query whose evaluation allocates an unbounded amount of heap memory, exhausting the available heap on the receiving node and causing the node to become unavailable. |
| Out-of-bounds read vulnerability in Samsung Opensource Escargot allows Overread Buffers.
This issue affects Escargot: 25648aef19187b3f87f4d9420b8d761453ad4630. |
| Insufficient Verification of Data Authenticity in AGESA™ may allow an attacker to update SPI ROM data potentially resulting in denial of service or privilege escalation. |
| Improperly Controlled Modification of Dynamically-Determined Object Attributes (CWE-915) in the case management functionality of Elastic Security in Kibana can lead to unauthorized modification of case data by an authenticated user who has not been granted case editing privileges, via Manipulating User-Controlled Variables (CAPEC-77). Object attributes accepted by the case management API were not subject to the same authorization enforcement applied in the user interface, so a low-privileged user could alter case records they were only entitled to view. |
| Cleartext Storage of Sensitive Information in an Environment Variable (CWE-526) in Elastic Cloud on Kubernetes (ECK) can lead to information disclosure via Retrieve Embedded Sensitive Data (CAPEC-37). When ECK reconciles a Fleet Server resource that authenticates to Elasticsearch with a service account token, the token is written into the generated workload specification in cleartext rather than being referenced from the Kubernetes Secret that ECK maintains for the other credentials on the same path. Any principal able to read workload specifications in the affected namespace can therefore read a live Elasticsearch credential, even when Kubernetes RBAC does not grant that principal access to Secrets. |
| llama.cpp through commit 97f06e9, when started with the --reranking flag, allows remote attackers to cause a denial of service (std::bad_alloc and HTTP 500) via a negative top_n value in a POST request to /rerank. |
| A flaw was found in libtpms, a library that provides software TPM 2.0 emulation. When restoring TPM 2.0 state (for example during a virtual machine's power-on or state/migration restore), a malformed state blob can supply an oversized skip-block length that is not validated against the remaining size of the input buffer. This can drive an internal size counter negative, which bypasses a subsequent bounds check due to an unsafe signed-to-unsigned conversion, causing the parser to read memory outside the bounds of the heap buffer holding the state data. Successful exploitation can crash the process hosting libtpms (such as swtpm), resulting in a denial of service of the emulated TPM device and the virtual machine that depends on it. No data corruption or information disclosure was confirmed. |
| PassMark PerformanceTest before 11.1 build 1012, BurnInTest before 11.1 build 1000, and OSForensics before 11.1 build 1016 contain an improper access control vulnerability in the DirectIo64.sys kernel driver that allows unprivileged local users to perform privileged hardware operations by opening a handle to the device object created without a security descriptor. Attackers can issue IOCTLs through the permissive default Windows ACL applied to the device to access restricted hardware operations regardless of privilege or integrity level. |
| A vulnerability has been found in ramon-victor freegpt-webui up to 098db3dfeb41555c2ca9269df0f13e10ec1c35dc. This issue affects the function ChatCompletion.create of the file g4f/__init__.py of the component Authentication Check. Such manipulation leads to missing authentication. The attack may be performed from remote. The exploit has been disclosed to the public and may be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. This vulnerability only affects products that are no longer supported by the maintainer. |
| NVIDIA NeMo for Linux contains a vulnerability where an attacker may cause OS command injection. A successful exploit of this vulnerability may lead to code execution, data tampering, escalation of privileges and information disclosure. |
| An issue was discovered in Lantronix EDS5000 2.1.0.0R3. The SSH Client and SSH Server pages are affected by multiple OS injection vulnerabilities due to missing sanitization of input parameters. An attacker can inject arbitrary commands in delete actions of various objects, such as server keys, users, and known hosts. Commands are executed with root privileges. |
| RFC6587SyslogDeserializer, used by the Spring Integration syslog TCP inbound adapter to decode RFC 6587 / RFC 5424 frames, trusts the sender-supplied octet count of an octet-counted frame and allocates a byte array of exactly that size with no upper bound.
Spring Integration 7.1.0
Spring Integration 7.0.0 - 7.0.5
Spring Integration 6.5.0 - 6.5.10
Spring Integration 6.4.0 - 6.4.12
Spring Integration 5.5.21 and earlier |
| In Reactor Core, applications that use the Flux.windowTimeout operator with fairBackpressure enabled are vulnerable to a Denial of Service (DoS) condition.
Reactor Core 3.8.0 - 3.8.6
Reactor Core 3.5.0 - 3.7.19
Reactor Core 3.4.41 and earlier |
| Spring Integration's JSON to object conversion uses the json__TypeId__ header to choose the deserialization target type, and resolves that header value to a class with ClassUtils.forName and no type/package allow-list.
Spring Integration 7.1.0
Spring Integration 7.0.0 - 7.0.5
Spring Integration 6.5.0 - 6.5.10
Spring Integration 6.4.0 - 6.4.12
Spring Integration 5.5.21 and earlier |
| A local attacker on a multi-user host can pre-create the deterministic cache path and plant a malicious ONNX model file.
Spring AI 2.0.0
Spring AI 1.1.0 - 1.1.8
Spring AI 1.0.0 - 1.0.9 |
