Common Weakness Enumeration

CWE-617

Allowed

Reachable Assertion

Abstraction: Base · Status: Draft

The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.

1249 vulnerabilities reference this CWE, most recent first.

GHSA-GFW8-MH94-9W58

Vulnerability from github – Published: 2024-07-23 15:31 – Updated: 2024-07-31 12:31
VLAI
Details

Client queries that trigger serving stale data and that also require lookups in local authoritative zone data may result in an assertion failure. This issue affects BIND 9 versions 9.16.13 through 9.16.50, 9.18.0 through 9.18.27, 9.19.0 through 9.19.24, 9.11.33-S1 through 9.11.37-S1, 9.16.13-S1 through 9.16.50-S1, and 9.18.11-S1 through 9.18.27-S1.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-4076"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-07-23T15:15:05Z",
    "severity": "HIGH"
  },
  "details": "Client queries that trigger serving stale data and that also require lookups in local authoritative zone data may result in an assertion failure.\nThis issue affects BIND 9 versions 9.16.13 through 9.16.50, 9.18.0 through 9.18.27, 9.19.0 through 9.19.24, 9.11.33-S1 through 9.11.37-S1, 9.16.13-S1 through 9.16.50-S1, and 9.18.11-S1 through 9.18.27-S1.",
  "id": "GHSA-gfw8-mh94-9w58",
  "modified": "2024-07-31T12:31:47Z",
  "published": "2024-07-23T15:31:09Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-4076"
    },
    {
      "type": "WEB",
      "url": "https://kb.isc.org/docs/cve-2024-4076"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2024/07/23/1"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2024/07/31/2"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-GG3P-8QG4-465F

Vulnerability from github – Published: 2026-06-01 21:30 – Updated: 2026-06-02 15:32
VLAI
Details

FlexRIC v2.0.0 contains a reachable assertion in e2ap_create_pdu() triggered when ASN.1 PER decoding fails. A remote unauthenticated attacker can send any non-PER byte sequence (e.g., a single 0x00 byte) over SCTP to the near-RT RIC (port 36421) or iApp (port 36422) to crash the process via SIGABRT. The assertion is reached before any protocol-level validation occurs. All three E2AP protocol versions (v1.01, v2.03, v3.01) are affected.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-37229"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-01T19:16:33Z",
    "severity": "HIGH"
  },
  "details": "FlexRIC v2.0.0 contains a reachable assertion in e2ap_create_pdu() triggered when ASN.1 PER decoding fails. A remote unauthenticated attacker can send any non-PER byte sequence (e.g., a single 0x00 byte) over SCTP to the near-RT RIC (port 36421) or iApp (port 36422) to crash the process via SIGABRT. The assertion is reached before any protocol-level validation occurs. All three E2AP protocol versions (v1.01, v2.03, v3.01) are affected.",
  "id": "GHSA-gg3p-8qg4-465f",
  "modified": "2026-06-02T15:32:01Z",
  "published": "2026-06-01T21:30:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-37229"
    },
    {
      "type": "WEB",
      "url": "https://github.com/MinamiKotor1/oran-security-advisories-zhongnan-luo/blob/main/advisories/CVE-2026-37229.md"
    },
    {
      "type": "WEB",
      "url": "https://gitlab.eurecom.fr/mosaic5g/flexric"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-GGXF-HWRW-C5Q2

Vulnerability from github – Published: 2024-10-21 18:30 – Updated: 2024-11-13 15:31
VLAI
Details

In the Linux kernel, the following vulnerability has been resolved:

btrfs: don't readahead the relocation inode on RST

On relocation we're doing readahead on the relocation inode, but if the filesystem is backed by a RAID stripe tree we can get ENOENT (e.g. due to preallocated extents not being mapped in the RST) from the lookup.

But readahead doesn't handle the error and submits invalid reads to the device, causing an assertion in the scatter-gather list code:

BTRFS info (device nvme1n1): balance: start -d -m -s BTRFS info (device nvme1n1): relocating block group 6480920576 flags data|raid0 BTRFS error (device nvme1n1): cannot find raid-stripe for logical [6481928192, 6481969152] devid 2, profile raid0 ------------[ cut here ]------------ kernel BUG at include/linux/scatterlist.h:115! Oops: invalid opcode: 0000 [#1] PREEMPT SMP PTI CPU: 0 PID: 1012 Comm: btrfs Not tainted 6.10.0-rc7+ #567 RIP: 0010:__blk_rq_map_sg+0x339/0x4a0 RSP: 0018:ffffc90001a43820 EFLAGS: 00010202 RAX: 0000000000000000 RBX: 0000000000000000 RCX: ffffea00045d4802 RDX: 0000000117520000 RSI: 0000000000000000 RDI: ffff8881027d1000 RBP: 0000000000003000 R08: ffffea00045d4902 R09: 0000000000000000 R10: 0000000000000000 R11: 0000000000001000 R12: ffff8881003d10b8 R13: ffffc90001a438f0 R14: 0000000000000000 R15: 0000000000003000 FS: 00007fcc048a6900(0000) GS:ffff88813bc00000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 000000002cd11000 CR3: 00000001109ea001 CR4: 0000000000370eb0 Call Trace: ? __die_body.cold+0x14/0x25 ? die+0x2e/0x50 ? do_trap+0xca/0x110 ? do_error_trap+0x65/0x80 ? __blk_rq_map_sg+0x339/0x4a0 ? exc_invalid_op+0x50/0x70 ? __blk_rq_map_sg+0x339/0x4a0 ? asm_exc_invalid_op+0x1a/0x20 ? __blk_rq_map_sg+0x339/0x4a0 nvme_prep_rq.part.0+0x9d/0x770 nvme_queue_rq+0x7d/0x1e0 __blk_mq_issue_directly+0x2a/0x90 ? blk_mq_get_budget_and_tag+0x61/0x90 blk_mq_try_issue_list_directly+0x56/0xf0 blk_mq_flush_plug_list.part.0+0x52b/0x5d0 __blk_flush_plug+0xc6/0x110 blk_finish_plug+0x28/0x40 read_pages+0x160/0x1c0 page_cache_ra_unbounded+0x109/0x180 relocate_file_extent_cluster+0x611/0x6a0 ? btrfs_search_slot+0xba4/0xd20 ? balance_dirty_pages_ratelimited_flags+0x26/0xb00 relocate_data_extent.constprop.0+0x134/0x160 relocate_block_group+0x3f2/0x500 btrfs_relocate_block_group+0x250/0x430 btrfs_relocate_chunk+0x3f/0x130 btrfs_balance+0x71b/0xef0 ? kmalloc_trace_noprof+0x13b/0x280 btrfs_ioctl+0x2c2e/0x3030 ? kvfree_call_rcu+0x1e6/0x340 ? list_lru_add_obj+0x66/0x80 ? mntput_no_expire+0x3a/0x220 __x64_sys_ioctl+0x96/0xc0 do_syscall_64+0x54/0x110 entry_SYSCALL_64_after_hwframe+0x76/0x7e RIP: 0033:0x7fcc04514f9b Code: Unable to access opcode bytes at 0x7fcc04514f71. RSP: 002b:00007ffeba923370 EFLAGS: 00000246 ORIG_RAX: 0000000000000010 RAX: ffffffffffffffda RBX: 0000000000000003 RCX: 00007fcc04514f9b RDX: 00007ffeba923460 RSI: 00000000c4009420 RDI: 0000000000000003 RBP: 0000000000000000 R08: 0000000000000013 R09: 0000000000000001 R10: 00007fcc043fbba8 R11: 0000000000000246 R12: 00007ffeba924fc5 R13: 00007ffeba923460 R14: 0000000000000002 R15: 00000000004d4bb0 Modules linked in: ---[ end trace 0000000000000000 ]--- RIP: 0010:__blk_rq_map_sg+0x339/0x4a0 RSP: 0018:ffffc90001a43820 EFLAGS: 00010202 RAX: 0000000000000000 RBX: 0000000000000000 RCX: ffffea00045d4802 RDX: 0000000117520000 RSI: 0000000000000000 RDI: ffff8881027d1000 RBP: 0000000000003000 R08: ffffea00045d4902 R09: 0000000000000000 R10: 0000000000000000 R11: 0000000000001000 R12: ffff8881003d10b8 R13: ffffc90001a438f0 R14: 0000000000000000 R15: 0000000000003000 FS: 00007fcc048a6900(0000) GS:ffff88813bc00000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007fcc04514f71 CR3: 00000001109ea001 CR4: 0000000000370eb0 Kernel p ---truncated---

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-49932"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-10-21T18:15:15Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nbtrfs: don\u0027t readahead the relocation inode on RST\n\nOn relocation we\u0027re doing readahead on the relocation inode, but if the\nfilesystem is backed by a RAID stripe tree we can get ENOENT (e.g. due to\npreallocated extents not being mapped in the RST) from the lookup.\n\nBut readahead doesn\u0027t handle the error and submits invalid reads to the\ndevice, causing an assertion in the scatter-gather list code:\n\n  BTRFS info (device nvme1n1): balance: start -d -m -s\n  BTRFS info (device nvme1n1): relocating block group 6480920576 flags data|raid0\n  BTRFS error (device nvme1n1): cannot find raid-stripe for logical [6481928192, 6481969152] devid 2, profile raid0\n  ------------[ cut here ]------------\n  kernel BUG at include/linux/scatterlist.h:115!\n  Oops: invalid opcode: 0000 [#1] PREEMPT SMP PTI\n  CPU: 0 PID: 1012 Comm: btrfs Not tainted 6.10.0-rc7+ #567\n  RIP: 0010:__blk_rq_map_sg+0x339/0x4a0\n  RSP: 0018:ffffc90001a43820 EFLAGS: 00010202\n  RAX: 0000000000000000 RBX: 0000000000000000 RCX: ffffea00045d4802\n  RDX: 0000000117520000 RSI: 0000000000000000 RDI: ffff8881027d1000\n  RBP: 0000000000003000 R08: ffffea00045d4902 R09: 0000000000000000\n  R10: 0000000000000000 R11: 0000000000001000 R12: ffff8881003d10b8\n  R13: ffffc90001a438f0 R14: 0000000000000000 R15: 0000000000003000\n  FS:  00007fcc048a6900(0000) GS:ffff88813bc00000(0000) knlGS:0000000000000000\n  CS:  0010 DS: 0000 ES: 0000 CR0: 0000000080050033\n  CR2: 000000002cd11000 CR3: 00000001109ea001 CR4: 0000000000370eb0\n  Call Trace:\n   \u003cTASK\u003e\n   ? __die_body.cold+0x14/0x25\n   ? die+0x2e/0x50\n   ? do_trap+0xca/0x110\n   ? do_error_trap+0x65/0x80\n   ? __blk_rq_map_sg+0x339/0x4a0\n   ? exc_invalid_op+0x50/0x70\n   ? __blk_rq_map_sg+0x339/0x4a0\n   ? asm_exc_invalid_op+0x1a/0x20\n   ? __blk_rq_map_sg+0x339/0x4a0\n   nvme_prep_rq.part.0+0x9d/0x770\n   nvme_queue_rq+0x7d/0x1e0\n   __blk_mq_issue_directly+0x2a/0x90\n   ? blk_mq_get_budget_and_tag+0x61/0x90\n   blk_mq_try_issue_list_directly+0x56/0xf0\n   blk_mq_flush_plug_list.part.0+0x52b/0x5d0\n   __blk_flush_plug+0xc6/0x110\n   blk_finish_plug+0x28/0x40\n   read_pages+0x160/0x1c0\n   page_cache_ra_unbounded+0x109/0x180\n   relocate_file_extent_cluster+0x611/0x6a0\n   ? btrfs_search_slot+0xba4/0xd20\n   ? balance_dirty_pages_ratelimited_flags+0x26/0xb00\n   relocate_data_extent.constprop.0+0x134/0x160\n   relocate_block_group+0x3f2/0x500\n   btrfs_relocate_block_group+0x250/0x430\n   btrfs_relocate_chunk+0x3f/0x130\n   btrfs_balance+0x71b/0xef0\n   ? kmalloc_trace_noprof+0x13b/0x280\n   btrfs_ioctl+0x2c2e/0x3030\n   ? kvfree_call_rcu+0x1e6/0x340\n   ? list_lru_add_obj+0x66/0x80\n   ? mntput_no_expire+0x3a/0x220\n   __x64_sys_ioctl+0x96/0xc0\n   do_syscall_64+0x54/0x110\n   entry_SYSCALL_64_after_hwframe+0x76/0x7e\n  RIP: 0033:0x7fcc04514f9b\n  Code: Unable to access opcode bytes at 0x7fcc04514f71.\n  RSP: 002b:00007ffeba923370 EFLAGS: 00000246 ORIG_RAX: 0000000000000010\n  RAX: ffffffffffffffda RBX: 0000000000000003 RCX: 00007fcc04514f9b\n  RDX: 00007ffeba923460 RSI: 00000000c4009420 RDI: 0000000000000003\n  RBP: 0000000000000000 R08: 0000000000000013 R09: 0000000000000001\n  R10: 00007fcc043fbba8 R11: 0000000000000246 R12: 00007ffeba924fc5\n  R13: 00007ffeba923460 R14: 0000000000000002 R15: 00000000004d4bb0\n   \u003c/TASK\u003e\n  Modules linked in:\n  ---[ end trace 0000000000000000 ]---\n  RIP: 0010:__blk_rq_map_sg+0x339/0x4a0\n  RSP: 0018:ffffc90001a43820 EFLAGS: 00010202\n  RAX: 0000000000000000 RBX: 0000000000000000 RCX: ffffea00045d4802\n  RDX: 0000000117520000 RSI: 0000000000000000 RDI: ffff8881027d1000\n  RBP: 0000000000003000 R08: ffffea00045d4902 R09: 0000000000000000\n  R10: 0000000000000000 R11: 0000000000001000 R12: ffff8881003d10b8\n  R13: ffffc90001a438f0 R14: 0000000000000000 R15: 0000000000003000\n  FS:  00007fcc048a6900(0000) GS:ffff88813bc00000(0000) knlGS:0000000000000000\n  CS:  0010 DS: 0000 ES: 0000 CR0: 0000000080050033\n  CR2: 00007fcc04514f71 CR3: 00000001109ea001 CR4: 0000000000370eb0\n  Kernel p\n---truncated---",
  "id": "GHSA-ggxf-hwrw-c5q2",
  "modified": "2024-11-13T15:31:37Z",
  "published": "2024-10-21T18:30:58Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-49932"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/04915240e2c3a018e4c7f23418478d27226c8957"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f7a1218a983ab98aba140dc20b25f60b39ee4033"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-GGXX-WP4V-H599

Vulnerability from github – Published: 2025-06-26 21:31 – Updated: 2025-06-26 21:31
VLAI
Details

A vulnerability has been found in Tarantool up to 3.3.1 and classified as problematic. Affected by this vulnerability is the function tm_to_datetime in the library src/lib/core/datetime.c. The manipulation leads to reachable assertion. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-6536"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-06-24T02:15:22Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability has been found in Tarantool up to 3.3.1 and classified as problematic. Affected by this vulnerability is the function tm_to_datetime in the library src/lib/core/datetime.c. The manipulation leads to reachable assertion. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.",
  "id": "GHSA-ggxx-wp4v-h599",
  "modified": "2025-06-26T21:31:04Z",
  "published": "2025-06-26T21:31:04Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-6536"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tarantool/tarantool/issues/11347"
    },
    {
      "type": "WEB",
      "url": "https://github.com/user-attachments/files/19613858/tarantool_crash.txt"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?ctiid.313663"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?id.313663"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?submit.597454"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "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/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

GHSA-GH7V-CX7G-P5JC

Vulnerability from github – Published: 2022-05-24 17:48 – Updated: 2024-03-21 03:34
VLAI
Details

Unbound before 1.9.5 allows an assertion failure and denial of service in dname_pkt_copy via an invalid packet.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-25037"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-04-27T06:15:00Z",
    "severity": "HIGH"
  },
  "details": "Unbound before 1.9.5 allows an assertion failure and denial of service in dname_pkt_copy via an invalid packet.",
  "id": "GHSA-gh7v-cx7g-p5jc",
  "modified": "2024-03-21T03:34:04Z",
  "published": "2022-05-24T17:48:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-25037"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2021/05/msg00007.html"
    },
    {
      "type": "WEB",
      "url": "https://ostif.org/our-audit-of-unbound-dns-by-x41-d-sec-full-results"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20210507-0007"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-GH8H-7J2J-QV4F

Vulnerability from github – Published: 2021-11-10 19:31 – Updated: 2024-11-13 21:45
VLAI
Summary
Incomplete validation in `tf.summary.create_file_writer`
Details

Impact

If tf.summary.create_file_writer is called with non-scalar arguments code crashes due to a CHECK-fail.

import tensorflow as tf
import numpy as np
tf.summary.create_file_writer(logdir='', flush_millis=np.ones((1,2)))

Patches

We have patched the issue in GitHub commit 874bda09e6702cd50bac90b453b50bcc65b2769e (merging #51715).

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported externally via a GitHub issue.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-41200"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-11-08T22:50:32Z",
    "nvd_published_at": "2021-11-05T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nIf `tf.summary.create_file_writer` is called with non-scalar arguments code crashes due to a `CHECK`-fail.\n\n```python\nimport tensorflow as tf\nimport numpy as np\ntf.summary.create_file_writer(logdir=\u0027\u0027, flush_millis=np.ones((1,2)))\n```\n\n### Patches\nWe have patched the issue in GitHub commit [874bda09e6702cd50bac90b453b50bcc65b2769e](https://github.com/tensorflow/tensorflow/commit/874bda09e6702cd50bac90b453b50bcc65b2769e) (merging [#51715](https://github.com/tensorflow/tensorflow/pull/51715)).\n\nThe fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/46909).",
  "id": "GHSA-gh8h-7j2j-qv4f",
  "modified": "2024-11-13T21:45:00Z",
  "published": "2021-11-10T19:31:16Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gh8h-7j2j-qv4f"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41200"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/issues/46909"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/874bda09e6702cd50bac90b453b50bcc65b2769e"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-610.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-808.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-393.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Incomplete validation in `tf.summary.create_file_writer`"
}

GHSA-GHQC-WX9W-J5H4

Vulnerability from github – Published: 2023-09-05 09:30 – Updated: 2024-04-04 07:27
VLAI
Details

Transient DOS in Modem while processing RRC reconfiguration message.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-21653"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-09-05T07:15:12Z",
    "severity": "HIGH"
  },
  "details": "Transient DOS in Modem while processing RRC reconfiguration message.",
  "id": "GHSA-ghqc-wx9w-j5h4",
  "modified": "2024-04-04T07:27:01Z",
  "published": "2023-09-05T09:30:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-21653"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins/september-2023-bulletin"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-GHRQ-5WPP-HXX5

Vulnerability from github – Published: 2026-07-31 16:20 – Updated: 2026-07-31 16:20
VLAI
Summary
Wings: Maliciously crafted packet during SFTP connection handshake causes denial of service
Details

Summary

A maliciously crafted packet received & parsed during the SFTP connection handshake will cause a Go panic.

Impact

All wings users with an open SFTP port.

Workarounds

Close SFTP port.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/pterodactyl/wings"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.13.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-52856"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-129",
      "CWE-20",
      "CWE-248",
      "CWE-400",
      "CWE-617",
      "CWE-755"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-07-31T16:20:25Z",
    "nvd_published_at": null,
    "severity": "HIGH"
  },
  "details": "### Summary\nA maliciously crafted packet received \u0026 parsed during the SFTP connection handshake will cause a Go panic.\n\n### Impact\nAll wings users with an open SFTP port.\n\n### Workarounds\nClose SFTP port.",
  "id": "GHSA-ghrq-5wpp-hxx5",
  "modified": "2026-07-31T16:20:25Z",
  "published": "2026-07-31T16:20:25Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/pterodactyl/wings/security/advisories/GHSA-ghrq-5wpp-hxx5"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pterodactyl/wings/commit/8e49c7c0eda815d3ada171831876a1c14c493026"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/pterodactyl/wings"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pterodactyl/wings/releases/tag/v1.13.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Wings: Maliciously crafted packet during SFTP connection handshake causes denial of service"
}

GHSA-GJF5-P37J-FRG4

Vulnerability from github – Published: 2026-10-21 12:31 – Updated: 2026-10-21 12:31
VLAI
Details

A reachable-assertion flaw in the HPACK header-compression decoder of the HTTP/2 (h2/gRPC) stack in Apache bRPC (version < 1.18.0) on all platforms allows a remote attacker to crash the server process by sending a crafted sequence of HPACK headers, resulting in a denial of service.

Root Cause: In src/brpc/details/hpack.cpp, IndexTable::Init sizes the dynamic-table ring buffer as num_headers = max_size / (32 + 2), i.e. it assumes a minimum table entry of 34 bytes (name >= 1 byte + value >= 1 byte + 32 bytes of overhead). However, RFC 7541 section 4.1 specifies that the minimum entry size is 33 bytes, because the value may be empty (name >= 1 byte + value == 0 + 32 bytes). For the default 4096-byte table this allocates only 120 slots (4096/34). Eviction in AddHeader is driven by byte usage (_max_size), not by slot count, so a peer can add 121 minimal 33-byte entries (121*33 = 3993 <= 4096) without triggering eviction. The 121st AddHeader then hits CHECK(!_header_queue.full()), which aborts the process.

Affected Scenarios: Use a bRPC server that serves HTTP/2 or gRPC requests (e.g. via the h2 protocol) from an untrusted network. The malicious header block is processed during HPACK decoding of incoming requests without authentication.

How to Fix: (Choose one of the following options)  1. Upgrade bRPC to version 1.18.0, which fixes this issue. 2. Apply this patch: https://github.com/apache/brpc/pull/3462

Note: The fix sizes the dynamic table for the 33-byte minimum entry (max_size / (32 + 1)) and ensures at least one ring-buffer slot is kept when max_size is smaller than the minimum entry, so that initialization cannot fail on malloc(0).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-78048"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-21T12:17:23Z",
    "severity": null
  },
  "details": "A reachable-assertion flaw in the HPACK header-compression decoder of the HTTP/2 (h2/gRPC) stack in Apache bRPC (version \u003c 1.18.0) on all platforms allows a remote attacker to crash the server process by sending a crafted sequence of HPACK headers, resulting in a denial of service.\n\nRoot Cause:\nIn src/brpc/details/hpack.cpp, IndexTable::Init sizes the dynamic-table ring buffer as num_headers = max_size / (32 + 2), i.e. it assumes a minimum table entry of 34 bytes (name \u003e= 1 byte + value \u003e= 1 byte + 32 bytes of overhead). However, RFC 7541 section 4.1 specifies that the minimum entry size is 33 bytes, because the value may be empty (name \u003e= 1 byte + value == 0 + 32 bytes). For the default 4096-byte table this allocates only 120 slots (4096/34). Eviction in AddHeader is driven by byte usage (_max_size), not by slot count, so a peer can add 121 minimal 33-byte entries (121*33 = 3993 \u003c= 4096) without triggering eviction. The 121st AddHeader then hits CHECK(!_header_queue.full()), which aborts the process.\n\nAffected Scenarios:\nUse a bRPC server that serves HTTP/2 or gRPC requests (e.g. via the h2 protocol) from an untrusted network. The malicious header block is processed during HPACK decoding of incoming requests without authentication.\n\nHow to Fix: \n(Choose one of the following options)\u00a0\n1. Upgrade bRPC to version 1.18.0, which fixes this issue.\n2. Apply this patch:\u00a0https://github.com/apache/brpc/pull/3462\n\nNote:\nThe fix sizes the dynamic table for the 33-byte minimum entry (max_size / (32 + 1)) and ensures at least one ring-buffer slot is kept when max_size is smaller than the minimum entry, so that initialization cannot fail on malloc(0).",
  "id": "GHSA-gjf5-p37j-frg4",
  "modified": "2026-10-21T12:31:11Z",
  "published": "2026-10-21T12:31:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-78048"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread/2pf15ojj0vr7rtx95677kgtl1mx3gdgb"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-GJQC-Q9G6-Q2J3

Vulnerability from github – Published: 2022-02-10 00:34 – Updated: 2024-11-07 22:28
VLAI
Summary
`CHECK`-failures in binary ops in Tensorflow
Details

Impact

A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer matches the dtype expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved:

functor::BinaryFunctor<Device, Functor, 1>()(
    eigen_device, out->template flat<Tout>(),
    input_0.template flat<Tin>(), input_1.template flat<Tin>(),
    error_ptr);

If Tin and Tout don't match the type of data in out and input_* tensors then flat<*> would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a CHECK crash, hence a denial of service.

Patches

We have patched the issue in GitHub commit a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.7.0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.7.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.7.0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.7.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.7.0"
            },
            {
              "fixed": "2.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.7.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2022-23583"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617",
      "CWE-843"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-02-04T19:45:57Z",
    "nvd_published_at": "2022-02-04T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nA malicious user can cause a denial of service by altering a `SavedModel` such that [any binary op](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/cwise_ops_common.h#L88-L137) would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved:\n\n```cc\nfunctor::BinaryFunctor\u003cDevice, Functor, 1\u003e()(\n    eigen_device, out-\u003etemplate flat\u003cTout\u003e(),\n    input_0.template flat\u003cTin\u003e(), input_1.template flat\u003cTin\u003e(),\n    error_ptr);\n```\nIf `Tin` and `Tout` don\u0027t match the type of data in `out` and `input_*` tensors then `flat\u003c*\u003e` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service.\n\n### Patches\nWe have patched the issue in GitHub commit [a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9](https://github.com/tensorflow/tensorflow/commit/a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9).\nThe fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.",
  "id": "GHSA-gjqc-q9g6-q2j3",
  "modified": "2024-11-07T22:28:14Z",
  "published": "2022-02-10T00:34:13Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjqc-q9g6-q2j3"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23583"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-92.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-147.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/cwise_ops_common.h#L88-L137"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "`CHECK`-failures in binary ops in Tensorflow"
}

Mitigation
Implementation

Make sensitive open/close operation non reachable by directly user-controlled data (e.g. open/close resources)

Mitigation
Implementation

Strategy: Input Validation

Perform input validation on user data.

No CAPEC attack patterns related to this CWE.