Export limit exceeded: 415459 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
Export limit exceeded: 415459 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
Export limit exceeded: 415459 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
Export limit exceeded: 415459 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.
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Search Results (415459 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-116173 | 2 Vllm, Vllm-project | 2 Vllm, Vllm | 2026-10-26 | 5.9 Medium |
| vLLM from 0.22.0 before 0.24.0 contains a denial of service vulnerability that allows remote attackers to terminate EngineCore by bypassing logprob_token_ids limits in the Rust gRPC frontend. Attackers can send Generate or GenerateStream requests with output_logprobs enabled and more than 128 output_candidates.token_ids, triggering a fatal sampler exception that crashes the engine. | ||||
| CVE-2026-116158 | 1 Imagemagick | 1 Imagemagick | 2026-10-26 | 2.5 Low |
| ImageMagick before 7.1.2-33 contains a memory leak vulnerability in the magick compare command caused by missing cleanup when an operation fails. Attackers can supply inputs that trigger repeated failed compare operations to exhaust memory and cause denial of service. | ||||
| CVE-2026-116157 | 1 Imagemagick | 1 Imagemagick | 2026-10-26 | 3.3 Low |
| ImageMagick before 7.1.2-33 contains a memory leak vulnerability in PerlMagick that fails to free values returned when reading image properties. Attackers can repeatedly trigger property reads through five affected PerlMagick code locations to exhaust memory and cause denial of service. | ||||
| CVE-2026-116156 | 1 Imagemagick | 1 Imagemagick | 2026-10-26 | 3.3 Low |
| ImageMagick before 6.9.13-58 and 7.x before 7.1.2-33 contains a memory leak caused by a missing cleanup when the -set profile option is used. An attacker who induces a user to process images with the -set profile option can leak memory, potentially exhausting resources and causing a denial of service. | ||||
| CVE-2026-116154 | 1 Imagemagick | 1 Imagemagick | 2026-10-26 | 5.3 Medium |
| ImageMagick before 6.9.13-58 and 7.x before 7.1.2-33 contains a memory leak in its XML parsing code, where allocated memory is not released when parsing reaches the nesting depth limit. Attackers can supply crafted, deeply nested XML data to trigger the leak, causing memory exhaustion and denial of service. | ||||
| CVE-2026-116150 | 1 Imagemagick | 1 Imagemagick | 2026-10-26 | 3.1 Low |
| ImageMagick before 7.1.2-33 contains a memory leak vulnerability in the FPX encoder that allows attackers to exhaust memory by supplying a crafted image. Attackers can submit crafted images for FPX encoding to leak memory repeatedly, causing resource exhaustion and denial of service. | ||||
| CVE-2026-116146 | 1 Imagemagick | 1 Imagemagick | 2026-10-26 | 3.7 Low |
| ImageMagick before 6.9.13-58 and 7.x before 7.1.2-33 contains a memory leak in the MSL decoder that fails to release allocated memory when processing a crafted MSL image. Attackers can supply crafted MSL files for processing to repeatedly leak memory, causing resource exhaustion and denial of service. | ||||
| CVE-2026-116144 | 1 Imagemagick | 1 Imagemagick | 2026-10-26 | 3.3 Low |
| ImageMagick before 6.9.13-58 and 7.x before 7.1.2-33 contains uncontrolled recursion in the MVG decoder that can lead to a stack overflow. Attackers can supply a crafted MVG file that, when read with specific arguments, exhausts the stack and crashes the process, causing a denial of service. | ||||
| CVE-2026-115920 | 1 Onnx | 1 Onnx | 2026-10-26 | 6.2 Medium |
| Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.2.1 until 1.22.0, ConvTranspose shape inference processes a weight tensor with fewer than three dimensions without a kernel_shape attribute by deriving an empty effective_kernel_shape and indexing it for the input's spatial dimensions. The flaw affects convTransposeShapeInference_opset11() and the current inference path, and an untrusted model that can pass onnx.checker.check_model() can crash onnx.shape_inference.infer_shapes(), causing denial of service without demonstrated confidentiality or integrity impact. This issue is fixed in version 1.22.0. | ||||
| CVE-2026-115919 | 1 Onnx | 1 Onnx | 2026-10-26 | 6.2 Medium |
| Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 through 6 without verifying that the first input has rank three. The function accesses dim(0) and dim(1) on an undersized protobuf shape, which can read outside the intended repeated field and terminate an application when onnx.shape_inference.infer_shapes() processes an untrusted model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0. | ||||
| CVE-2026-115915 | 2 Vllm, Vllm-project | 2 Vllm, Vllm | 2026-10-26 | 8.1 High |
| vLLM is an inference and serving engine for large language models. Prior to 0.32.0, ImageMediaIO passes attacker-controlled image bytes to Pillow through Image.open(BytesIO(data)) without restricting decoder selection, and the MIME label does not constrain the selected format. Image-capable request paths through parse_image() and fetch_image() can therefore dispatch an EPS payload to host components. A host with Ghostscript affected by CVE-2024-29510 can execute commands with the vLLM process's privileges, while environments using Pillow 12.0.0 through 12.2.0 can trigger CVE-2026-59203 and exhaust media-loading workers. Deployments without the applicable vulnerable dependency are not affected by that corresponding impact. This issue is fixed in version 0.32.0. | ||||
| CVE-2026-115912 | 2 Vllm, Vllm-project | 2 Vllm, Vllm | 2026-10-26 | 7.5 High |
| vLLM is an inference and serving engine for large language models. Prior to 0.32.0, an authenticated caller can place forged shared-memory address and monotonic_id values in public multimodal features.kwargs_data. In scale-out deployments with shared-memory multimodal caching enabled, workers trust those values and pass attacker-selected bytes to pickle.loads(), allowing arbitrary Python execution even when insecure serialization is disabled. This issue is fixed in version 0.32.0. | ||||
| CVE-2026-115909 | 1 Zip-rs | 1 Zip2 | 2026-10-26 | 7.5 High |
| zip is a zip library for Rust that supports reading and writing simple ZIP files. From 1.3.0 until 9.0.0, ZipArchive::extract in src/read/mod.rs calls Vec::with_capacity for a symbolic link target using the attacker-controlled ZIP64 uncompressed_size before reading entry data. A small archive can request an impossible capacity, causing the infallible allocation path to abort the process before the entry is validated. The failure cannot be contained with catch_unwind or a worker thread, allowing repeated denial of service in archive-processing applications. This issue is fixed in version 9.0.0. | ||||
| CVE-2026-115720 | 1 Frappe | 1 Builder | 2026-10-26 | 5 Medium |
| Frappe Builder before 1.36.1 contains a server-side request forgery vulnerability in builder/api.py where the assert_not_private_url() guard validates only the initial hostname before callers invoke requests.get(url) with default redirect-following and no IP pinning, allowing an attacker-supplied public URL to HTTP-redirect to internal or link-local addresses the guard never validated. An authenticated attacker can call the convert_to_webp endpoint, which lacks a permission decorator, with a URL that redirects to internal targets such as cloud metadata services to perform SSRF, internal port scanning, or trigger a request-hang denial of service due to the missing timeout. | ||||
| CVE-2026-109966 | 1 Marcopiovanello | 1 Yt-dlp-web-ui | 2026-10-26 | 5.3 Medium |
| yt-dlp-web-ui through 4.0.0 contains an argument injection vulnerability that allows unauthenticated remote attackers to inject yt-dlp options by supplying a dash-prefixed url parameter to the Service.Formats JSON-RPC method. Attackers can send values like --load-info-json via /rpc/http or /rpc/ws to make yt-dlp load attacker-chosen JSON files from the server filesystem, with contents reflected in responses. | ||||
| CVE-2026-109961 | 1 Froxlor | 1 Froxlor | 2026-10-26 | 8.5 High |
| Froxlor 0.10.0 before 2.3.14 contains a newline injection vulnerability that allows authenticated customers to inject arbitrary entries into the root-owned NSS group database via the unvalidated additional_members parameter of the Ftps.add API. Attackers can embed newline characters that the REBUILD_NSSUSERS cron writes unsanitized into /var/lib/extrausers/group, creating privileged group entries for local privilege escalation. | ||||
| CVE-2026-109956 | 1 Nltk | 1 Nltk | 2026-10-26 | 7 High |
| NLTK through 3.10.3 contains a path traversal vulnerability in WekaClassifier that allows attackers to bypass nltk.pathsec containment by supplying unvalidated model paths. Attackers controlling the model_filename or model argument can make the weka JVM write files via -d or probe files via -l outside allowed data roots. | ||||
| CVE-2026-109774 | 1 Mozilla | 1 Firefox | 2026-10-26 | 9.8 Critical |
| Invalid pointer, undefined behavior in the DOM: Notifications component. This vulnerability was fixed in Firefox 158 and Thunderbird 158. | ||||
| CVE-2026-101429 | 1 Oracle | 1 Peoplesoft Enterprise Peopletools | 2026-10-26 | 7 High |
| Vulnerability in the PeopleSoft Enterprise PeopleTools product of Oracle PeopleSoft (component: SQR). Supported versions that are affected are 8.61-8.63. Difficult to exploit vulnerability allows unauthenticated attacker with logon to the infrastructure where PeopleSoft Enterprise PeopleTools executes to compromise PeopleSoft Enterprise PeopleTools. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in takeover of PeopleSoft Enterprise PeopleTools. CVSS 3.1 Base Score 7.0 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H). | ||||
| CVE-2026-69850 | 1 Microsoft | 27 Windows 10 1607, Windows 10 1809, Windows 10 21h2 and 24 more | 2026-10-26 | 7.8 High |
| Untrusted pointer dereference in Windows Certificates allows an authorized attacker to elevate privileges locally. | ||||