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Search Results (11 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-5318 | 2 Libssh, Redhat | 11 Libssh, Ai Inference Server, Enterprise Linux and 8 more | 2026-08-04 | 5.4 Medium |
| A flaw was found in the libssh library in versions less than 0.11.2. An out-of-bounds read can be triggered in the sftp_handle function due to an incorrect comparison check that permits the function to access memory beyond the valid handle list and to return an invalid pointer, which is used in further processing. This vulnerability allows an authenticated remote attacker to potentially read unintended memory regions, exposing sensitive information or affect service behavior. | ||||
| CVE-2026-42010 | 2 Gnu, Redhat | 15 Gnutls, Ai Inference Server, Discovery and 12 more | 2026-07-22 | 7.1 High |
| A flaw was found in gnutls. Servers configured with RSA-PSK (Rivest–Shamir–Adleman – Pre-Shared Key) wrongfully matched usernames containing a NUL character with truncated usernames. A remote attacker could exploit this by sending a specially crafted username, leading to an authentication bypass. This vulnerability allows an attacker to gain unauthorized access by circumventing the authentication process. | ||||
| CVE-2026-42009 | 2 Gnu, Redhat | 26 Gnutls, Ai Inference Server, Discovery and 23 more | 2026-07-22 | 7.5 High |
| A flaw was found in gnutls. A remote attacker could exploit an issue in the Datagram Transport Layer Security (DTLS) packet reordering logic. The comparator function, responsible for ordering DTLS packets by sequence numbers, did not correctly handle packets with duplicate sequence numbers. This could lead to unstable packet ordering or undefined behavior, resulting in a denial of service. | ||||
| CVE-2026-4878 | 2 Libcap Project, Redhat | 18 Libcap, Ai Inference Server, Cost Management and 15 more | 2026-07-15 | 6.7 Medium |
| A flaw was found in libcap. A local unprivileged user can exploit a Time-of-check-to-time-of-use (TOCTOU) race condition in the `cap_set_file()` function. This allows an attacker with write access to a parent directory to redirect file capability updates to an attacker-controlled file. By doing so, capabilities can be injected into or stripped from unintended executables, leading to privilege escalation. | ||||
| CVE-2025-14831 | 2 Red Hat, Redhat | 17 Enterprise Linux, Ai Inference Server, Ceph Storage and 14 more | 2026-06-29 | 5.3 Medium |
| A flaw was found in GnuTLS. This vulnerability allows a denial of service (DoS) by excessive CPU (Central Processing Unit) and memory consumption via specially crafted malicious certificates containing a large number of name constraints and subject alternative names (SANs). | ||||
| CVE-2025-14512 | 2 Gnome, Redhat | 14 Glib, Ai Inference Server, Discovery and 11 more | 2026-06-29 | 6.5 Medium |
| A flaw was found in glib. This vulnerability allows a heap buffer overflow and denial-of-service (DoS) via an integer overflow in GLib's GIO (GLib Input/Output) escape_byte_string() function when processing malicious file or remote filesystem attribute values. | ||||
| CVE-2023-52356 | 2 Libtiff, Redhat | 4 Libtiff, Ai Inference Server, Discovery and 1 more | 2026-02-10 | 7.5 High |
| A segment fault (SEGV) flaw was found in libtiff that could be triggered by passing a crafted tiff file to the TIFFReadRGBATileExt() API. This flaw allows a remote attacker to cause a heap-buffer overflow, leading to a denial of service. | ||||
| CVE-2023-52355 | 2 Libtiff, Redhat | 4 Libtiff, Ai Inference Server, Discovery and 1 more | 2026-01-22 | 7.5 High |
| An out-of-memory flaw was found in libtiff that could be triggered by passing a crafted tiff file to the TIFFRasterScanlineSize64() API. This flaw allows a remote attacker to cause a denial of service via a crafted input with a size smaller than 379 KB. | ||||
| CVE-2025-9900 | 1 Redhat | 9 Ai Inference Server, Discovery, Enterprise Linux and 6 more | 2026-01-22 | 8.8 High |
| A flaw was found in Libtiff. This vulnerability is a "write-what-where" condition, triggered when the library processes a specially crafted TIFF image file. By providing an abnormally large image height value in the file's metadata, an attacker can trick the library into writing attacker-controlled color data to an arbitrary memory location. This memory corruption can be exploited to cause a denial of service (application crash) or to achieve arbitrary code execution with the permissions of the user. | ||||
| CVE-2025-6920 | 1 Redhat | 1 Ai Inference Server | 2025-11-20 | 5.3 Medium |
| A flaw was found in the authentication enforcement mechanism of a model inference API in ai-inference-server. All /v1/* endpoints are expected to enforce API key validation. However, the POST /invocations endpoint failed to do so, resulting in an authentication bypass. This vulnerability allows unauthorized users to access the same inference features available on protected endpoints, potentially exposing sensitive functionality or allowing unintended access to backend resources. | ||||
| CVE-2025-6242 | 1 Redhat | 2 Ai Inference Server, Enterprise Linux Ai | 2025-10-17 | 7.1 High |
| A Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources. | ||||
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