GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

GHSA-98FC-86GG-P4FR

Vulnerability from github – Published: 2025-05-02 18:31 – Updated: 2025-11-12 21:31
VLAI
Details

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

perf/core: Fix perf_output_begin parameter is incorrectly invoked in perf_event_bpf_output

syzkaller reportes a KASAN issue with stack-out-of-bounds. The call trace is as follows: dump_stack+0x9c/0xd3 print_address_description.constprop.0+0x19/0x170 __kasan_report.cold+0x6c/0x84 kasan_report+0x3a/0x50 __perf_event_header__init_id+0x34/0x290 perf_event_header__init_id+0x48/0x60 perf_output_begin+0x4a4/0x560 perf_event_bpf_output+0x161/0x1e0 perf_iterate_sb_cpu+0x29e/0x340 perf_iterate_sb+0x4c/0xc0 perf_event_bpf_event+0x194/0x2c0 __bpf_prog_put.constprop.0+0x55/0xf0 __cls_bpf_delete_prog+0xea/0x120 [cls_bpf] cls_bpf_delete_prog_work+0x1c/0x30 [cls_bpf] process_one_work+0x3c2/0x730 worker_thread+0x93/0x650 kthread+0x1b8/0x210 ret_from_fork+0x1f/0x30

commit 267fb27352b6 ("perf: Reduce stack usage of perf_output_begin()") use on-stack struct perf_sample_data of the caller function.

However, perf_event_bpf_output uses incorrect parameter to convert small-sized data (struct perf_bpf_event) into large-sized data (struct perf_sample_data), which causes memory overwriting occurs in __perf_event_header__init_id.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-53065"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-05-02T16:15:25Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nperf/core: Fix perf_output_begin parameter is incorrectly invoked in perf_event_bpf_output\n\nsyzkaller reportes a KASAN issue with stack-out-of-bounds.\nThe call trace is as follows:\n  dump_stack+0x9c/0xd3\n  print_address_description.constprop.0+0x19/0x170\n  __kasan_report.cold+0x6c/0x84\n  kasan_report+0x3a/0x50\n  __perf_event_header__init_id+0x34/0x290\n  perf_event_header__init_id+0x48/0x60\n  perf_output_begin+0x4a4/0x560\n  perf_event_bpf_output+0x161/0x1e0\n  perf_iterate_sb_cpu+0x29e/0x340\n  perf_iterate_sb+0x4c/0xc0\n  perf_event_bpf_event+0x194/0x2c0\n  __bpf_prog_put.constprop.0+0x55/0xf0\n  __cls_bpf_delete_prog+0xea/0x120 [cls_bpf]\n  cls_bpf_delete_prog_work+0x1c/0x30 [cls_bpf]\n  process_one_work+0x3c2/0x730\n  worker_thread+0x93/0x650\n  kthread+0x1b8/0x210\n  ret_from_fork+0x1f/0x30\n\ncommit 267fb27352b6 (\"perf: Reduce stack usage of perf_output_begin()\")\nuse on-stack struct perf_sample_data of the caller function.\n\nHowever, perf_event_bpf_output uses incorrect parameter to convert\nsmall-sized data (struct perf_bpf_event) into large-sized data\n(struct perf_sample_data), which causes memory overwriting occurs in\n__perf_event_header__init_id.",
  "id": "GHSA-98fc-86gg-p4fr",
  "modified": "2025-11-12T21:31:00Z",
  "published": "2025-05-02T18:31:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-53065"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3a776fddb4e5598c8bfcd4ad094fba34f9856fc9"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ac5f88642cb211152041f84a985309e9af4baf59"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ddcf8320003638a06eb1e46412e045d0c5701575"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/eb81a2ed4f52be831c9fb879752d89645a312c13"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ff8137727a2af4ad5f6e6c8b9f7ec5e8db9da86c"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


Loading…