CVE-2026-58049 json
FFmpeg - Out-of-Bounds Write in RASC Decoder decode_dlta()
published 2026-06-28 4 mo ago modified 2026-09-01 2 mo ago also EUVD-2026-39969 , GHSA-mjxr-6gqf-w78h , JLSEC-2026-1171
- cvss
- 8.6
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.5%
- EPSS 0.5% chance of exploitation in 30 days, percentile 42%
- public exploits
- 0
- none known
Summary
FFmpeg's RASC video decoder (decode_dlta in libavcodec/rasc.c) performs 32-bit reads and writes at the row cursor before the NEXT_LINE row-boundary check and validates the DLTA region in pixel rather than byte units, so a DLTA run on a PAL8 frame can access several bytes past the row allocation. A crafted media stream using the RASC FourCC, decoded by libavcodec, triggers a bitstream-controlled out-of-bounds heap write and adjacent out-of-bounds read, leading to memory corruption.
Patch / fix
- julia FFMPEG_jll 9.0.0+0
- julia FFMPEG_nogpl_jll 9.0.0+0
- julia FFplay_jll 9.0.0+0
- Red Hat Red Hat Enterprise Linux AI 3.0 for RHEL 9 0:6.1.6-3.el9ai
- Red Hat Red Hat Enterprise Linux AI 3.2 for RHEL 9 0:6.1.6-3.el9ai
- Red Hat Red Hat Enterprise Linux AI 3.3 for RHEL 9 0:6.1.6-3.el9ai
- Red Hat Red Hat Enterprise Linux AI 3.5 for RHEL 9 0:6.1.6-1.el9ai
- Red Hat Red Hat OpenShift AI 3.4 1786611800, 1787076481, 1787076778, 1787077779
- ffmpeg Debian 14 7:9.0.2-1
debian advisories DEBIAN-CVE-2026-58049
- ffmpeg Ubuntu Pro 20.04 LTS 7:4.2.7-0ubuntu0.1+esm17
- ffmpeg Ubuntu Pro 22.04 LTS 7:4.4.2-0ubuntu0.22.04.1+esm16
ubuntu advisories UBUNTU-CVE-2026-58049
Ubuntu security data © Canonical Ltd., from https://github.com/canonical/ubuntu-security-notices via OSV; changed: normalised to fixed package versions per release. CC BY-SA 4.0
- ffmpeg enterprise linux ai 3.0 6.1.6-9.el9ai
- ffmpeg-free-rhai enterprise linux ai 3.0 6.1.6-9.el9ai
- libavutil-free-rhai enterprise linux ai 3.0 6.1.6-9.el9ai
- libavcodec-free-rhai enterprise linux ai 3.0 6.1.6-9.el9ai
- libswscale-free-rhai enterprise linux ai 3.0 6.1.6-9.el9ai
- libavdevice-free-rhai enterprise linux ai 3.0 6.1.6-9.el9ai
- libavfilter-free-rhai enterprise linux ai 3.0 6.1.6-9.el9ai
- libavformat-free-rhai enterprise linux ai 3.0 6.1.6-9.el9ai
red hat advisories RHSA-2026:74089RHSA-2026:52832RHSA-2026:52833RHSA-2026:51180RHSA-2026:43711
- ffmpeg-4 SLES for SAP 15 SP4, SLES 15 SP4-LTSS, SLE High Performance Computing 15 SP4-LTSS +1 more 4.4.8-150400.3.75.1
- ffmpeg-4 SLE Workstation Extension 15 SP7, SLE Module for Package Hub 15 SP7 4.4.8-150600.13.55.1
suse advisories SUSE-SU-2026:4150-1SUSE-SU-2026:4149-1
- ffmpeg-7 openSUSE Leap 16.0 7.1.5-160000.1.1
- ffmpeg-8 openSUSE Tumbleweed 8.1.2-3.1
- ffmpeg-7 openSUSE Tumbleweed 7.1.5-2.1
- ffmpeg-4 openSUSE Tumbleweed 4.4.8-4.1
- ffmpeg-9 openSUSE Tumbleweed 9.0.1-2.1
opensuse advisories openSUSE-SU-2026:21877-1openSUSE-SU-2026:11682-1openSUSE-SU-2026:11665-1openSUSE-SU-2026:11563-1openSUSE-SU-2026:11545-1
Vendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2026-58049 updated cvss 7.6
FFmpeg: FFmpeg: Memory corruption via crafted RASC video stream
-
Red Hat AI Inference Server rhaii/vllm-cpu-rhel9, rhaii/vllm-tpu-rhel9, rhaii/vllm-cuda-rhel9, rhaii/vllm-rocm-rhel9, rhaiis/vllm-cpu-rhel9, rhaiis/vllm-tpu-rhel9, +5 moreaffected: workaround, no fix available, no fix planned “Will not fix”
-
Red Hat Enterprise Linux AI (RHEL AI) 3 rhelai3/bootc-gaudi-rhel9affected: workaround, no fix planned “Will not fix”
-
Red Hat OpenShift AI (RHOAI) rhoai/odh-vllm-gaudi-rhel9, rhai/base-image-rocm-6.4-rhel9, rhai/base-image-rocm-7.0-rhel9, rhai/base-image-rocm-7.1-rhel9affected: workaround, no fix available
-
Red Hat AI Inference Server 3.2 rhaiis/vllm-cuda-rhel9 1787860580, rhaiis/vllm-rocm-rhel9 1787884873, rhaiis/model-opt-cuda-rhel9 1787772157fixed: vendor fix RHSA-2026:61628
-
Red Hat AI Inference Server 3.3 rhaiis/vllm-cuda-rhel9 1789582776, rhaiis/vllm-rocm-rhel9 1789504371, rhaiis/vllm-spyre-rhel9 1789502493, rhaiis/model-opt-cuda-rhel9 1789508287fixed: vendor fix RHSA-2026:68696
-
Red Hat Enterprise Linux AI 3.0 for RHEL 9 ffmpeg 6.1.6-3.el9ai, ffmpeg 6.1.6-9.el9ai, ffmpeg-free-rhai 6.1.6-3.el9ai, ffmpeg-free-rhai 6.1.6-9.el9ai, libavutil-free-rhai 6.1.6-3.el9ai, libavutil-free-rhai 6.1.6-9.el9ai, +14 morefixed: vendor fix RHSA-2026:52832
-
Red Hat Enterprise Linux AI 3.2 for RHEL 9 ffmpeg 6.1.6-3.el9ai, ffmpeg-free-rhai 6.1.6-3.el9ai, libavutil-free-rhai 6.1.6-3.el9ai, libavcodec-free-rhai 6.1.6-3.el9ai, libswscale-free-rhai 6.1.6-3.el9ai, libavdevice-free-rhai 6.1.6-3.el9ai, +4 morefixed: vendor fix RHSA-2026:52833
-
Red Hat Enterprise Linux AI 3.3 rhelai3/bootc-cuda-rhel9 1790866732, rhelai3/bootc-rocm-rhel9 1790791893, rhelai3/bootc-aws-cuda-rhel9 1790936334, rhelai3/bootc-gcp-cuda-rhel9 1790936334, rhelai3/disk-image-cuda-rhel9 1790954179, rhelai3/bootc-azure-cuda-rhel9 1790936351, +1 morefixed: vendor fix RHSA-2026:76041
show 7 moreshow fewer
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Red Hat Enterprise Linux AI 3.3 for RHEL 9 ffmpeg 6.1.6-3.el9ai, ffmpeg-free-rhai 6.1.6-3.el9ai, libavutil-free-rhai 6.1.6-3.el9ai, libavcodec-free-rhai 6.1.6-3.el9ai, libswscale-free-rhai 6.1.6-3.el9ai, libavdevice-free-rhai 6.1.6-3.el9ai, +4 morefixed: vendor fix RHSA-2026:51180
-
Red Hat Enterprise Linux AI 3.5 for RHEL 9 ffmpeg 6.1.6-1.el9ai, ffmpeg-free-rhai 6.1.6-1.el9ai, libavutil-free-rhai 6.1.6-1.el9ai, libavcodec-free-rhai 6.1.6-1.el9ai, libswscale-free-rhai 6.1.6-1.el9ai, libavdevice-free-rhai 6.1.6-1.el9ai, +4 morefixed: vendor fix RHSA-2026:43711
-
Red Hat OpenShift AI 3.2 rhai/base-image-cpu-rhel9 1790703590, rhai/base-image-cpu-rhel9 1791232203, rhai/base-image-tpu-rhel9 1790703497, rhai/base-image-tpu-rhel9 1791231896, rhai/base-image-cuda-rhel9 1790703586, rhai/base-image-cuda-rhel9 1791232024, +6 morefixed: vendor fix RHSA-2026:74460
-
Red Hat OpenShift AI 3.4 rhoai/odh-mlserver-rhel9 1786611800, rhoai/odh-th06-cpu-torch210-py312-rhel9 1787076778, rhoai/odh-th06-rocm64-torch291-py312-rhel9 1787076481, rhoai/odh-th06-cuda130-torch210-py312-rhel9 1787077779, rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9 1791785804fixed: vendor fix RHSA-2026:60520
-
Red Hat OpenShift AI 3.5 rhai/base-image-cpu-rhel9 1790703656, rhai/base-image-tpu-rhel9 1790703554, rhai/base-image-gaudi-rhel9 1790703552, rhai/base-image-spyre-rhel9 1790703630, rhai/base-image-neuron-rhel9 1790703557, rhai/base-image-cuda-12.9-rhel9 1790703706, +4 morefixed: vendor fix RHSA-2026:75652
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Red Hat OpenShift AI (RHOAI) rhoai/odh-automl-rhel9, rhoai/odh-autorag-rhel9, rhoai/odh-llm-d-kv-cache-rhel9, rhoai/odh-spark-operator-rhel9, rhoai/odh-llama-stack-core-rhel9, rhoai/odh-kserve-autogluon-server-rhel9, +8 morenot affected: vulnerable code not in execute path
-
Red Hat OpenShift AI 3.4 rhoai/odh-cli-rhel9 1787330837, rhoai/odh-cli-rhel9 1791509689, rhoai/rhai-cli-rhel9 1787330837, rhoai/rhai-cli-rhel9 1791509689, rhoai/odh-automl-rhel9 1786612415, rhoai/odh-automl-rhel9 1791535789, +201 morenot affected: vulnerable code not present
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- none
- Automatable
- yes
- Technical impact
- partial
- Assessed
- 4 mo ago
Exploit prediction
0.50% chance of exploitation in the next 30 days, higher than 42% of all scored CVEs (FIRST EPSS, 2026-11-08).
Exploits and checks
- github.com https://github.com/bikini/exploitarium/tree/main/ffmpeg-rasc-dlta-calc-poc referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 8.6 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H |
| CNA | 4.0 | 8.8 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N |
| CISA ADP | 3.1 | 7.6 | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:H |
| CNA | 4.0 | 8.8 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N/E:X/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 |
| CNA | 3.1 | 7.6 | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:H |
| OSV | 3.1 | 8.6 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| julia | FFMPEG_jll | <9.0.0+0 |
9.0.0+0 |
| julia | FFMPEG_nogpl_jll | <9.0.0+0 |
9.0.0+0 |
| julia | FFplay_jll | <9.0.0+0 |
9.0.0+0 |
Affected products
- FFmpeg FFmpeg
- Red Hat Red Hat Enterprise Linux AI 3.0 for RHEL 9
- Red Hat Red Hat Enterprise Linux AI 3.2 for RHEL 9
- Red Hat Red Hat Enterprise Linux AI 3.3 for RHEL 9
- Red Hat Red Hat Enterprise Linux AI 3.5 for RHEL 9
- Red Hat Red Hat OpenShift AI 3.4
- Red Hat Red Hat AI Inference Server
- Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3
- Red Hat Red Hat OpenShift AI (RHOAI)
Classification
- Weakness
-
- CWE-787 Out-of-bounds Write
References
-
github.com
/bikini/exploitarium/tree/main/ffmpeg-rasc-dlta-calc-poc
exploit, third-party-advisory, web
-
access.redhat.com
/errata/RHSA-2026:52832
vendor-advisory
-
access.redhat.com
/errata/RHSA-2026:52833
vendor-advisory
-
access.redhat.com
/errata/RHSA-2026:51180
vendor-advisory
-
access.redhat.com
/errata/RHSA-2026:43711
vendor-advisory, web
-
access.redhat.com
/errata/RHSA-2026:61628
vendor-advisory
-
access.redhat.com
/errata/RHSA-2026:61627
vendor-advisory
-
access.redhat.com
/errata/RHSA-2026:61629
vendor-advisory
-
access.redhat.com
/errata/RHSA-2026:60520
vendor-advisory
-
github.com
/FFmpeg/FFmpeg/blob/master/libavcodec/rasc.c
product, web
-
vulncheck.com
/advisories/ffmpeg-out-of-bounds-write-in-rasc-decoder-decode-dlta
third-party-advisory, web
-
access.redhat.com
/security/cve/CVE-2026-58049
vdb-entry, web
-
bugzilla.redhat.com
/show_bug.cgi?id=2493952
issue-tracking, web
-
security.access.redhat.com
/data/csaf/v2/vex/2026/cve-2026-58049.json
web
-
github.com
/advisories/GHSA-mjxr-6gqf-w78h
web
-
nvd.nist.gov
/vuln/detail/CVE-2026-58049
web
Sources
- CVE List CVE-2026-58049
- NVD CVE-2026-58049
- OSV JLSEC-2026-1171
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.