{"kind": "product", "path": "vulns/debian-14/pytorch", "name": "pytorch", "product": "pytorch", "ecosystem": "Debian:14", "items": [{"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": 0.00441, "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/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"id": "CVE-2025-32434", "noindex": false, "published": "2025-04-18T15:48:18.851Z", "modified": "2025-12-01T07:05:28.923Z", "cvss": 9.3, "cvss_vector": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N", "severity": "critical", "epss": 0.02369, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-32434", "title": "PyTorch: `torch.load` with `weights_only=True` leads to remote code execution", "description": "PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.", "references": ["https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6", "https://lists.debian.org/debian-lts-announce/2025/12/msg00000.html", "https://nvd.nist.gov/vuln/detail/CVE-2025-32434"], "fixes": ["2.6.0+dfsg-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": ["2.12.0+dfsg2-1"], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"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": 0.00262, "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/debian-14/pytorch", "ecosystem": "Debian:14"}]}, {"id": "CVE-2025-3121", "noindex": false, "published": "2025-04-02T22:00:12.390Z", "modified": "2025-04-03T19:26:25.202Z", "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": 0.00272, "kev": false, "exploits": [], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}], "path": "vulns/cve-2025-3121", "title": "PyTorch torch.jit.jit_module_from_flatbuffer memory corruption", "description": "A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.", "references": ["https://vuldb.com/?id.303012", "https://vuldb.com/?ctiid.303012", "https://vuldb.com/?submit.525049"], "fixes": [], "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}]}], "total": 32, "unknown_count": 0, "release_unconfirmed": false, "page": 1, "pages": 2, "filtered": false, "noindex": false, "filters": {}, "page_size": 20, "products": [{"name": "pytorch", "path": "vulns/debian-14/pytorch", "ecosystem": "Debian:14"}], "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": "2026-07-15T01:17:00.817Z", "early_advisories": [], "license": "Подборку PatchFirst и наши дополнения (приоритеты, ранние предупреждения, тексты, сводки и агрегаты) можно свободно использовать для собственных целей, включая внутренние задачи бизнеса. Перепродажа, коммерческое распространение и массовое зеркалирование этой подборки или дополнений допускаются только по письменному соглашению с оператором. При любом использовании или публикации подборки или наших дополнений указывайте PatchFirst (https://ru.patchfirst.dev/vulns/) с этой ссылкой на страницу ленты своего региона. Исходные записи открытых источников остаются под их лицензиями и условиями. Эти условия не ограничивают ваши права на исходные данные, которые можно получить у источников напрямую.", "terms_url": "https://ru.patchfirst.dev/vulns/#feed-terms", "attribution": {"name": "PatchFirst", "url": "https://ru.patchfirst.dev/vulns/"}, "source_changes": "PatchFirst отбирает, нормализует и объединяет записи; могут добавляться сводки и переводы. Новости указываются ссылкой на первоисточник в самой записи.", "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. Unless required by applicable law or agreed to in writing, you provide such materials on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. CVE Usage : MITRE hereby grants you 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 Common Vulnerabilities and Exposures (CVE™). Any copy you make for such purposes is authorized provided that you reproduce MITRE's copyright designation and this license in any such copy. DISCLAIMERS ALL DOCUMENTS AND THE INFORMATION CONTAINED THEREIN PROVIDED BY MITRE ARE PROVIDED ON AN \"AS IS\" BASIS AND THE CONTRIBUTOR, THE ORGANIZATION HE/SHE REPRESENTS OR IS SPONSORED BY (IF ANY), THE MITRE CORPORATION, ITS BOARD OF TRUSTEES, OFFICERS, AGENTS, AND EMPLOYEES, DISCLAIM ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTY THAT THE USE OF THE INFORMATION THEREIN WILL NOT INFRINGE ANY RIGHTS OR ANY IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE."}, {"id": "osv", "name": "OSV", "url": "https://osv.dev/", "terms_url": "https://google.github.io/osv.dev/data/", "terms": "Лицензии исходных баз различаются; см. каталог источников."}, {"id": "kev", "name": "CISA KEV", "url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog", "license": "CC0-1.0", "terms_url": "https://github.com/cisagov/kev-data/blob/develop/LICENSE"}, {"id": "epss", "name": "FIRST EPSS", "url": "https://www.first.org/epss/", "terms_url": "https://www.first.org/epss/faq", "terms": "Оценки доступны свободно; запрашивается указание источника (FIRST EPSS, оценки подготовлены Empirical Security)."}, {"id": "github-advisory", "name": "GitHub Advisory Database", "url": "https://github.com/advisories", "license": "CC-BY-4.0", "terms_url": "https://github.com/github/advisory-database/blob/main/LICENSE.md"}, {"id": "exploitdb", "name": "Exploit-DB", "url": "https://www.exploit-db.com/", "license": "GPL-2.0", "terms_url": "https://gitlab.com/exploit-database/exploitdb/-/blob/main/LICENSE.md"}, {"id": "metasploit", "name": "Metasploit", "url": "https://github.com/rapid7/metasploit-framework", "license": "BSD-3-Clause", "terms_url": "https://github.com/rapid7/metasploit-framework/blob/master/LICENSE", "notice": "Copyright (c) 2006-2026, Rapid7, Inc.\nLicense: BSD-3-clause\n Redistribution and use in source and binary forms, with or without modification,\n are permitted provided that the following conditions are met:\n .\n * Redistributions of source code must retain the above copyright notice,\n this list of conditions and the following disclaimer.\n .\n * Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n .\n * Neither the name of Rapid7, Inc. nor the names of its contributors\n may be used to endorse or promote products derived from this software\n without specific prior written permission.\n .\n THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND\n ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\n WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n DISCLAIMED. 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