{"kind": "product", "path": "vulns/ubuntu-26.10/pytorch", "name": "pytorch", "product": "pytorch", "ecosystem": "Ubuntu:26.10", "items": [{"id": "CVE-2026-65918", "noindex": false, "published": "2026-07-23T17:36:42.799Z", "modified": "2026-09-17T17:54:36.539Z", "cvss": 7.1, "cvss_vector": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:N/VA:H/SC:N/SI:N/SA:N", "severity": "high", "epss": 0.00445, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2026-65918", "title": "PyTorch torchvision GIF Decoder Out-of-bounds Heap Read", "description": "PyTorch torchvision through 0.28.0, fixed in commit 4e05dc2, contains an out-of-bounds heap read vulnerability in the GIF decoder's read_from_tensor callback that passes unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to cause denial of service via segmentation fault or disclose adjacent heap memory contents.", "references": ["https://github.com/pytorch/vision/issues/9551", "https://github.com/pytorch/vision/pull/9520", "https://github.com/pytorch/vision/commit/4e05dc22f5f050a9528cc0ea09ceca6cdaf8f4ed"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2026-31221", "noindex": false, "published": "2026-05-12T00:00:00.000Z", "modified": "2026-05-15T18:05:39.679Z", "cvss": 8.8, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "severity": "high", "epss": 0.00385, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2026-31221", "title": "CVE-2026-31221", "description": "PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoint loading mechanism. The LightningModule.load_from_checkpoint() method, which is commonly used to load saved model states, internally calls torch.load() without setting the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted checkpoint file, leading to arbitrary code execution on the victim's system when the file is loaded.", "references": ["https://github.com/Lightning-AI/pytorch-lightning", "https://www.notion.so/CVE-2026-31221-35d1e1393188815f8db7c4fd08076639", "https://nvd.nist.gov/vuln/detail/CVE-2026-31221"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2026-4538", "noindex": false, "published": "2026-03-22T04:20:28.356Z", "modified": "2026-03-23T16:21:46.022Z", "cvss": 4.8, "cvss_vector": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P", "severity": "medium", "epss": 0.00243, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2026-4538", "title": "PyTorch pt2 Loading deserialization", "description": "A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might be used. The project was informed of the problem early through a pull request but has not reacted yet.", "references": ["https://vuldb.com/?id.352326", "https://vuldb.com/?ctiid.352326", "https://vuldb.com/?submit.774681"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2026-24747", "noindex": false, "published": "2026-01-27T21:13:46.878Z", "modified": "2026-07-15T01:17:00.817Z", "cvss": 8.8, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "severity": "high", "epss": 0.00799, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2026-24747", "title": "PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files", "description": "PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.", "references": ["https://github.com/pytorch/pytorch/security/advisories/GHSA-63cw-57p8-fm3p", "https://github.com/pytorch/pytorch/issues/163105", "https://github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-63396", "noindex": false, "published": "2025-11-12T00:00:00.000Z", "modified": "2026-07-05T01:20:22.567Z", "cvss": 3.3, "cvss_vector": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L", "severity": "low", "epss": 0.00133, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-63396", "title": "CVE-2025-63396", "description": "An issue was discovered in PyTorch v2.5 and v2.7.1. Omission of profiler.stop() can cause torch.profiler.profile (PythonTracer) to crash or hang during finalization, leading to a Denial of Service (DoS).", "references": ["https://github.com/Daisy2ang", "https://github.com/pytorch/pytorch", "https://github.com/pytorch/pytorch/issues/156563"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-55560", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-26T19:39:24.967Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00408, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-55560", "title": "CVE-2025-55560", "description": "An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.", "references": ["https://github.com/pytorch/pytorch/issues/151522", "https://github.com/pytorch/pytorch/pull/151897", "https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-55558", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-26T20:00:09.769Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.0045, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-55558", "title": "CVE-2025-55558", "description": "A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS).", "references": ["https://github.com/pytorch/pytorch/issues/151523", "https://github.com/pytorch/pytorch/pull/151887", "https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-55557", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-29T16:14:32.567Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00408, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-55557", "title": "CVE-2025-55557", "description": "A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS).", "references": ["https://github.com/pytorch/pytorch/issues/151738", "https://github.com/pytorch/pytorch/pull/151931", "https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-55554", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-26T19:57:13.791Z", "cvss": 5.3, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L", "severity": "medium", "epss": 0.00315, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-55554", "title": "CVE-2025-55554", "description": "pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().", "references": ["https://github.com/pytorch/pytorch/issues/151510", "https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc", "https://nvd.nist.gov/vuln/detail/CVE-2025-55554"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-55553", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-29T17:30:11.735Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00408, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-55553", "title": "CVE-2025-55553", "description": "A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).", "references": ["https://github.com/pytorch/pytorch/issues/151432", "https://github.com/pytorch/pytorch/pull/154645", "https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-55552", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-29T17:35:00.697Z", "cvss": 5.3, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L", "severity": "medium", "epss": 0.00418, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-55552", "title": "CVE-2025-55552", "description": "pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.", "references": ["https://github.com/pytorch/pytorch/issues/147847", "https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc", "https://nvd.nist.gov/vuln/detail/CVE-2025-55552"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-55551", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-29T17:37:31.155Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00423, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-55551", "title": "CVE-2025-55551", "description": "An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation.", "references": ["https://github.com/pytorch/pytorch/issues/151401", "https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc", "https://nvd.nist.gov/vuln/detail/CVE-2025-55551"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-46153", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-25T18:33:13.153Z", "cvss": 5.3, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N", "severity": "medium", "epss": 0.00419, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-46153", "title": "CVE-2025-46153", "description": "PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.", "references": ["https://github.com/pytorch/pytorch/issues/142853", "https://github.com/pytorch/pytorch/pull/143460", "https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-46152", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-25T18:38:40.107Z", "cvss": 5.3, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L", "severity": "medium", "epss": 0.00453, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-46152", "title": "CVE-2025-46152", "description": "In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the \"other\" argument.", "references": ["https://github.com/pytorch/pytorch/issues/143555", "https://github.com/pytorch/pytorch/pull/143635", "https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-46150", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-25T18:40:55.864Z", "cvss": 5.3, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N", "severity": "medium", "epss": 0.00385, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-46150", "title": "CVE-2025-46150", "description": "In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.", "references": ["https://github.com/pytorch/pytorch/issues/141538", "https://github.com/pytorch/pytorch/issues/141538#issuecomment-2537424658", "https://github.com/pytorch/pytorch/pull/144395"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-46149", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-25T18:44:23.006Z", "cvss": 5.3, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N", "severity": "medium", "epss": 0.00363, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-46149", "title": "CVE-2025-46149", "description": "In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.", "references": ["https://github.com/pytorch/pytorch/issues/147848", "https://github.com/pytorch/pytorch/pull/147961", "https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-46148", "noindex": false, "published": "2025-09-25T00:00:00.000Z", "modified": "2025-09-25T18:47:30.851Z", "cvss": 5.3, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N", "severity": "medium", "epss": 0.00401, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-46148", "title": "CVE-2025-46148", "description": "In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.", "references": ["https://github.com/pytorch/pytorch/issues/151198", "https://gist.github.com/shaoyuyoung/65a587a579dfdff887b9b35bb79b9093", "https://github.com/pytorch/pytorch/pull/152993"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-4287", "noindex": false, "published": "2025-05-05T20:00:11.130Z", "modified": "2025-05-06T13:45:53.787Z", "cvss": 4.8, "cvss_vector": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N", "severity": "medium", "epss": 0.00189, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-4287", "title": "PyTorch nccl.py torch.cuda.nccl.reduce denial of service", "description": "A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function torch.cuda.nccl.reduce of the file torch/cuda/nccl.py. The manipulation leads to denial of service. It is possible to launch the attack on the local host. The exploit has been disclosed to the public and may be used. The patch is identified as 5827d2061dcb4acd05ac5f8e65d8693a481ba0f5. It is recommended to apply a patch to fix this issue.", "references": ["https://vuldb.com/?id.307394", "https://vuldb.com/?ctiid.307394", "https://vuldb.com/?submit.553644"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-3730", "noindex": false, "published": "2025-04-16T21:00:17.836Z", "modified": "2025-05-22T21:39:19.138Z", "cvss": 4.8, "cvss_vector": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N", "severity": "medium", "epss": 0.00331, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-3730", "title": "PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service", "description": "A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue. The security policy of the project warns to use unknown models which might establish malicious effects.", "references": ["https://vuldb.com/?id.305076", "https://vuldb.com/?ctiid.305076", "https://vuldb.com/?submit.553645"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}, {"id": "CVE-2025-3136", "noindex": false, "published": "2025-04-03T03:31:05.598Z", "modified": "2025-04-03T13:31:31.510Z", "cvss": 4.8, "cvss_vector": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N", "severity": "medium", "epss": 0.00265, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-3136", "title": "PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruption", "description": "A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.caching_allocator_delete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.", "references": ["https://vuldb.com/?id.303041", "https://vuldb.com/?ctiid.303041", "https://vuldb.com/?submit.525252"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}]}], "total": 33, "unknown_count": 0, "release_unconfirmed": false, "page": 1, "pages": 2, "filtered": false, "noindex": false, "filters": {}, "page_size": 20, "products": [{"name": "pytorch", "path": "vulns/ubuntu-26.10/pytorch", "ecosystem": "Ubuntu:26.10"}], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}, {"name": "web", "path": "vulns/stack/web", "slug": "web"}, {"name": "php", "path": "vulns/stack/php", "slug": "php"}, {"name": "python", "path": "vulns/stack/python", "slug": "python"}, {"name": "node", "path": "vulns/stack/node", "slug": "node"}, {"name": "database", "path": "vulns/stack/database", "slug": "database"}, {"name": "containers", "path": "vulns/stack/containers", "slug": "containers"}, {"name": "network", "path": "vulns/stack/network", "slug": "network"}, {"name": "applications", "path": "vulns/stack/applications", "slug": "applications"}], "versions": [], "stats": {"recent": 0, "kev": 0}, "lastmod": "2026-09-17T17:54:36.539Z", "early_advisories": [], "license": "Sie dürfen die Auswahl von PatchFirst und unsere Ergänzungen (Prioritäten, Frühwarnungen, Texte, Zusammenfassungen und Aggregate) für eigene Zwecke einschließlich interner geschäftlicher Aufgaben frei nutzen. Weiterverkauf, kommerzielle Verbreitung und massenhafte Spiegelung dieser Auswahl oder Ergänzungen erfordern eine schriftliche Vereinbarung mit dem Betreiber. Nennen Sie bei jeder Nutzung oder Veröffentlichung der Auswahl oder unserer Ergänzungen PatchFirst (https://patchfirst.dev/vulns/) mit diesem Link zur Feedseite Ihrer Region als Quelle. Originaleinträge aus offenen Quellen unterliegen weiterhin ihren jeweiligen Lizenzen und Bedingungen. Diese Bedingungen beschränken Ihre Rechte an den Originaldaten nicht, die Sie direkt bei den Quellen beziehen können.", "terms_url": "https://patchfirst.dev/de/vulns/#feed-terms", "attribution": {"name": "PatchFirst", "url": "https://patchfirst.dev/vulns/"}, "source_changes": "PatchFirst wählt Einträge aus, normalisiert und kombiniert sie; Zusammenfassungen und Übersetzungen können hinzukommen. Nachrichten werden im jeweiligen Eintrag mit einem Link zur Originalquelle belegt.", "sources": [{"id": "cve", "name": "CVE List / CVE.org", "url": "https://www.cve.org/", "license": "CVE Terms of Use", "terms_url": "https://www.cve.org/Legal/TermsOfUse", "notice": "Copyright © 1999–2021, The MITRE Corporation. LICENSE Submissions : For all materials you submit to the Common Vulnerabilities and Exposures (CVE™), you hereby grant to The MITRE Corporation (MITRE) and all CVE Numbering Authorities (CNAs) a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare derivative works of, publicly display, publicly perform, sublicense, and distribute such materials and derivative works. 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