Description
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.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:HWeakness enumeration
Affected software
Source: the vendor's advisory (CNA). NVD analysis pending.
| Vendor | Product | Versions |
|---|---|---|
| FFmpeg | FFmpeg | <= bcd2c69e087a09b07cf45c6bd2428ee1ccb2925c |
| 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 OpenShift AI 3.4 | — |
| Red Hat | Red Hat OpenShift AI 3.4 | — |
| Red Hat | Red Hat OpenShift AI 3.4 | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat AI Inference Server | — |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | — |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | — |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | — |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | — |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | — |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | — |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
| Red Hat | Red Hat OpenShift AI (RHOAI) | — |
References
- https://github.com/FFmpeg/FFmpeg/blob/master/libavcodec/rasc.c
- https://github.com/bikini/exploitarium/tree/main/ffmpeg-rasc-dlta-calc-poc
- https://www.vulncheck.com/advisories/ffmpeg-out-of-bounds-write-in-rasc-decoder-decode-dlta
- https://access.redhat.com/errata/RHSA-2026:43711
- https://access.redhat.com/errata/RHSA-2026:51180
- https://access.redhat.com/errata/RHSA-2026:52832
- https://access.redhat.com/errata/RHSA-2026:52833
- https://access.redhat.com/errata/RHSA-2026:60520
- https://access.redhat.com/errata/RHSA-2026:61627
- https://access.redhat.com/errata/RHSA-2026:61628
- https://access.redhat.com/errata/RHSA-2026:61629
- https://access.redhat.com/security/cve/CVE-2026-58049
- https://bugzilla.redhat.com/show_bug.cgi?id=2493952
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-58049.json
Timeline
- Published
- Jun 28, 2026
- Last modified
- Sep 1, 2026
- NVD status
- Awaiting Analysis