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oesa-2026-3086
Vulnerability from osv_openeuler
FFmpeg is a complete and free Internet live audio and video broadcasting solution for Linux/Unix. It also includes a digital VCR. It can encode in real time in many formats including MPEG1 audio and video, MPEG4, h263, ac3, asf, avi, real, mjpeg, and flash.
Security Fix(es):
Unchecked Return Value, Out-of-bounds Read vulnerability in FFmpeg allows Read Sensitive Constants Within an Executable. This vulnerability is associated with program files https://github.Com/FFmpeg/FFmpeg/blob/master/libavfilter/af_pan.C .
This issue affects FFmpeg: 7.1.
Issue was fixed: https://github.com/FFmpeg/FFmpeg/commit/b5b6391d64807578ab872dc58fb8aa621dcfc38a
https://github.com/FFmpeg/FFmpeg/commit/b5b6391d64807578ab872dc58fb8aa621dcfc38a This issue was discovered by: Simcha Kosman(CVE-2025-0518)
A NULL pointer dereference vulnerability exists in FFmpeg’s Firequalizer filter (libavfilter/af_firequalizer.c) due to a missing check on the return value of av_malloc_array() in the config_input() function. An attacker could exploit this by tricking a victim into processing a crafted media file with the Firequalizer filter enabled, causing the application to dereference a NULL pointer and crash, leading to denial of service.(CVE-2025-10256)
A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnn_backend_tf.c source file. The issue occurs in the dnn_execute_model_tf() function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free condition, potentially causing FFmpeg or any application using it to crash when processing TensorFlow-based DNN models. This results in a denial-of-service scenario but does not allow arbitrary code execution under normal conditions.(CVE-2025-12343)
A vulnerability, which was classified as critical, was found in FFmpeg up to 7.1. This affects the function ff_aac_search_for_tns of the file libavcodec/aacenc_tns.c of the component AAC Encoder. The manipulation leads to stack-based buffer overflow. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used.(CVE-2025-1594)
A heap buffer overflow in the av_bprint_finalize() function of FFmpeg v8.0.1 allows attackers to cause a Denial of Service (DoS) via a crafted input.(CVE-2026-30999)
A flaw was found in FFmpeg. A remote attacker could exploit this vulnerability by providing a specially crafted MPEG-PS/VOB media file containing a malicious DVD subtitle stream. This vulnerability is caused by a signed integer overflow in the DVD subtitle parser's fragment reassembly bounds checks, leading to a heap out-of-bounds write. Successful exploitation can result in a denial of service (DoS) due to an application crash, and potentially lead to arbitrary code execution.(CVE-2026-6385)
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CVE-2025-0518 (GCVE-0-2025-0518)
Vulnerability from cvelistv5 – Published: 2025-01-16 16:45 – Updated: 2025-11-03 20:56{
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CVE-2025-10256 (GCVE-0-2025-10256)
Vulnerability from cvelistv5 – Published: 2026-02-18 20:26 – Updated: 2026-02-25 16:55- CWE-476 - NULL Pointer Dereference
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CVE-2025-12343 (GCVE-0-2025-12343)
Vulnerability from cvelistv5 – Published: 2026-02-18 20:28 – Updated: 2026-02-25 18:15- CWE-415 - Double Free
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CVE-2025-1594 (GCVE-0-2025-1594)
Vulnerability from cvelistv5 – Published: 2025-02-23 21:00 – Updated: 2025-02-24 12:03| URL | Tags |
|---|---|
| https://vuldb.com/?id.296589 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.296589 | signaturepermissions-required |
| https://vuldb.com/?submit.496929 | third-party-advisory |
| https://trac.ffmpeg.org/ticket/11418#comment:3 | issue-tracking |
| https://trac.ffmpeg.org/attachment/ticket/11418/poc | exploitissue-tracking |
| https://ffmpeg.org/ | product |
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | FFmpeg |
Affected:
3.4.0
Affected: 3.4.1 Affected: 3.4.2 Affected: 3.4.3 Affected: 3.4.4 Affected: 3.4.5 Affected: 3.4.6 Affected: 3.4.7 Affected: 3.4.8 Affected: 3.4.9 Affected: 3.4.10 Affected: 3.4.11 Affected: 3.4.12 Affected: 3.4.13 Affected: 4.2.0 Affected: 4.2.1 Affected: 4.2.2 Affected: 4.2.3 Affected: 4.2.4 Affected: 4.2.5 Affected: 4.2.6 Affected: 4.2.7 Affected: 4.2.8 Affected: 4.2.9 Affected: 4.2.10 Affected: 4.3.0 Affected: 4.3.1 Affected: 4.3.2 Affected: 4.3.3 Affected: 4.3.4 Affected: 4.3.5 Affected: 4.3.6 Affected: 4.3.7 Affected: 4.3.8 Affected: 4.4.0 Affected: 4.4.1 Affected: 4.4.2 Affected: 4.4.3 Affected: 4.4.4 Affected: 4.4.5 Affected: 5.1.0 Affected: 5.1.1 Affected: 5.1.2 Affected: 5.1.3 Affected: 5.1.4 Affected: 5.1.5 Affected: 5.1.6 Affected: 6.1.0 Affected: 6.1.1 Affected: 6.1.2 Affected: 7.0 Affected: 7.0.0 Affected: 7.0.1 Affected: 7.0.2 Affected: 7.1 |
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CVE-2026-30999 (GCVE-0-2026-30999)
Vulnerability from cvelistv5 – Published: 2026-04-13 00:00 – Updated: 2026-04-13 19:11- n/a
- CWE-122 - Heap-based Buffer Overflow
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CVE-2026-6385 (GCVE-0-2026-6385)
Vulnerability from cvelistv5 – Published: 2026-04-15 19:18 – Updated: 2026-04-15 20:01- CWE-190 - Integer Overflow or Wraparound
| URL | Tags |
|---|---|
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| https://bugzilla.redhat.com/show_bug.cgi?id=2458764 | issue-trackingx_refsource_REDHAT |
| Vendor | Product | Version | |
|---|---|---|---|
| Red Hat | Lightspeed Core |
cpe:/a:redhat:lightspeed_core
|
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
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cpe:/a:redhat:enterprise_linux_ai:3
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"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.1"
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"format": "CVSS"
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],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-04-15T19:18:39.354Z",
"orgId": "53f830b8-0a3f-465b-8143-3b8a9948e749",
"shortName": "redhat"
},
"references": [
{
"tags": [
"vdb-entry",
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],
"url": "https://access.redhat.com/security/cve/CVE-2026-6385"
},
{
"name": "RHBZ#2458764",
"tags": [
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"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2458764"
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"time": "2026-04-15T19:11:15.167Z",
"value": "Reported to Red Hat."
},
{
"lang": "en",
"time": "2026-04-15T19:11:47.803Z",
"value": "Made public."
}
],
"title": "Ffmpeg: ffmpeg: denial of service and potential arbitrary code execution via signed integer overflow in dvd subtitle parser",
"workarounds": [
{
"lang": "en",
"value": "To mitigate this issue, avoid processing untrusted MPEG-PS/VOB media files with FFmpeg. If FFmpeg is used in automated media processing services, implement strict input validation and isolation to prevent the ingestion of malicious files from untrusted sources. For end-user applications, refrain from opening or playing untrusted media files."
}
],
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"engine": "cvelib 1.8.0"
},
"x_redhatCweChain": "CWE-190: Integer Overflow or Wraparound"
}
},
"cveMetadata": {
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"datePublished": "2026-04-15T19:18:39.354Z",
"dateReserved": "2026-04-15T19:11:41.901Z",
"dateUpdated": "2026-04-15T20:01:15.671Z",
"state": "PUBLISHED"
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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.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.