Common Weakness Enumeration
CWE-787
Allowed-with-ReviewOut-of-bounds Write
Abstraction: Base · Status: Draft
The product writes data past the end, or before the beginning, of the intended buffer.
3477 vulnerabilities reference this CWE, most recent first.
CVE-2026-57189 (GCVE-0-2026-57189)
Vulnerability from cvelistv5 – Published: 2026-10-27 16:59 – Updated: 2026-10-28 16:14
VLAI
EPSS
VEX
Title
Asterisk: Possible RED T.140 Generation Accumulation OOB Write
Summary
Asterisk is an open source private branch exchange and telephony toolkit. In affected deployments, an authenticated attacker may cause a `T.140 RED` out-of-bounds write during `generation accumulation` using carefully crafted packets, potentially allowing remote code execution or causing Asterisk to crash. The `chan_sip` channel driver must be installed and configured, and its `textsupport` option must be enabled; `textsupport` defaults to no. `The chan_sip driver was deprecated in Asterisk 20 and completely removed in all later versions.` Repository comparisons verify patch containment in Asterisk 20.20.1, 21.12.3, 22.10.1 and 23.4.1, and Certified Asterisk 20.7-cert11 and 22.8-cert3. The affected release-track scope remains unresolved: structured metadata includes later release tracks even though the advisory says the required `chan_sip` driver was removed there.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-28 14:34 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
GitHub_M
CNA
References
15 references
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| asterisk | asterisk |
Affected:
< 20.20.1
Affected: >= 21.0.0-pre1, < 21.12.3 Affected: >= 22.0.0-pre1, < 22.10.1 Affected: >= 23.0.0-pre1, < 23.4.1 |
|
| asterisk | certified-asterisk |
Affected:
< 20.7-cert11
Affected: >= 22.8-cert1-pre1, < 22.8-cert3 |
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CVE-2026-57188 (GCVE-0-2026-57188)
Vulnerability from cvelistv5 – Published: 2026-10-27 17:55 – Updated: 2026-10-30 20:22
VLAI
EPSS
VEX
Title
Asterisk: Stack buffer overflow in res_xmpp XMPP namespace prefix handling
Summary
Asterisk is an open source private branch exchange and telephony toolkit. Prior to Asterisk 20.20.1, 21.12.3, 22.10.1, 23.4.1 and Certified Asterisk 20.7-cert11, 22.8-cert3, an authenticated attacker may cause a stack buffer overflow in `res_xmpp` `XMPP namespace prefix` handling using carefully crafted packets. The `res_xmpp` module must be loaded, an XMPP connection must be configured in `xmpp.conf`, and the attacker must have an XMPP account on the same or a federated server. This issue is fixed in Asterisk 20.20.1, 21.12.3, 22.10.1, 23.4.1 and Certified Asterisk 20.7-cert11, 22.8-cert3.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-30 20:22 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
GitHub_M
CNA
References
15 references
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| asterisk | asterisk |
Affected:
< 20.20.1
Affected: >= 21.0.0-pre1, < 21.12.3 Affected: >= 22.0.0-pre1, < 22.10.1 Affected: >= 23.0.0-pre1, < 23.4.1 |
|
| asterisk | certified-asterisk |
Affected:
< 20.7-cert11
Affected: >= 22.8-cert1-pre1, < 22.8-cert3 |
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CVE-2026-57159 (GCVE-0-2026-57159)
Vulnerability from cvelistv5 – Published: 2026-09-04 17:11 – Updated: 2026-09-08 17:36
VLAI
EPSS
VEX
Title
PJSIP: SDP parser out-of-bounds write in remote payload-type map maintenance
Summary
PJSIP is a free and open source multimedia communication library written in C. Prior to commit 673b978, a remote out-of-bounds read and write can occur in the SDP negotiator when the remote payload-type map maintenance feature is enabled. assign_pt_and_update_map() in pjmedia/src/pjmedia/sdp_neg.c uses payload-type numbers taken from a remote SDP offer or answer to index fixed-size internal tables without sufficient bounds validation, so a crafted remote SDP can cause memory access outside those tables. The practical impact is memory corruption and denial of service; code execution is not demonstrated. This path is only reached when PJMEDIA_SDP_NEG_MAINTAIN_REMOTE_PT_MAP is enabled. The default is disabled, so default builds are not affected; the feature is an interoperability option that integrating products may enable. This issue has been patched via commit 673b978.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-08 17:35 UTC
Assigner
GitHub_M
CNA
References
2 references
| URL | Tags |
|---|---|
| https://github.com/pjsip/pjproject/security/advis… | x_refsource_CONFIRM |
| https://github.com/pjsip/pjproject/commit/673b978… | x_refsource_MISC |
Impacted products
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CVE-2026-57021 (GCVE-0-2026-57021)
Vulnerability from cvelistv5 – Published: 2026-07-09 21:05 – Updated: 2026-07-10 14:28
VLAI
EPSS
VEX
Title
Junos OS: SRX Series: If VPN compliance-check is configured an attacker can cause http-gk process crash
Summary
An Out-of-bounds Write vulnerability in the http-gatekeeper (http-gk) of Juniper Networks Junos OS on SRX Series allows an unauthenticated, network-based attacker to cause a Denial-of-Service (DoS).
If an SRX Series device is configured for remote-access VPN with pre-logon compliance check, a network-based attacker sending specifically formatted requests can trigger an out of bounds write leading to an http-gk process crash. This crash leads to unavailability of all services depending on the [ system services web-management ] configuration (like J-Web, remote access VPN and firewall authentication) until the process automatically restarts.
This issue affects Junos OS on SRX Series:
* 23.2 versions before 23.2R2-S7,
* 23.4 versions before 23.4R2-S8,
* 24.2 versions before 24.2R2-S4,
* 24.4 versions before 24.4R2-S4,
* 25.2 versions before 25.2R2,
* 25.4 versions before 25.4R1-S1, 25.4R2.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-10 14:28 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
juniper
CNA
References
1 reference
| URL | Tags |
|---|---|
| https://supportportal.juniper.net/JSA110081 | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Juniper Networks | Junos OS |
Affected:
23.2 , < 23.2R2-S7
(custom)
Affected: 23.4 , < 23.4R2-S8 (custom) Affected: 24.2 , < 24.2R2-S4 (custom) Affected: 24.4 , < 24.4R2-S4 (custom) Affected: 25.2 , < 25.2R2 (custom) Affected: 25.4 , < 25.4R1-S1, 25.4R2 (custom) |
Date Public
2026-07-08 16:00
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CVE-2026-56786 (GCVE-0-2026-56786)
Vulnerability from cvelistv5 – Published: 2026-06-25 18:11 – Updated: 2026-11-08 14:06 X_Open Source
VLAI
EPSS
VEX
Title
RTKLIB 2.4.3 - Out-of-bounds Write in decode_type1033 via Crafted RTCM3 Message
Summary
RTKLIB through 2.4.3 contains an out-of-bounds write vulnerability in decode_type1033 function that fails to clamp length counters to destination buffer size, allowing up to 191-byte overflow into fixed 64-byte descriptor fields. An attacker controlling an NTRIP or serial RTCM3 correction stream can craft a valid CRC-bearing type-1033 message to corrupt adjacent rtcm_t object members, potentially achieving arbitrary code execution or denial of service.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-25 18:41 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
VulnCheck
CNA
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tomojitakasu/RTKLIB/issues/799 | technical-descriptionexploitissue-tracking |
| https://www.vulncheck.com/advisories/rtklib-out-o… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tomojitakasu | RTKLIB |
Affected:
0 , ≤ 2.4.3
(semver)
|
Date Public
2026-06-09 00:00
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CVE-2026-56711 (GCVE-0-2026-56711)
Vulnerability from cvelistv5 – Published: 2026-09-09 13:31 – Updated: 2026-09-18 17:23
VLAI
EPSS
VEX
Title
VLC media player 3.0.0 through 3.0.23 memory corruption vulnerability
Summary
VLC media player versions 3.0.0 through 3.0.23 contain a memory-safety vulnerability reachable when processing crafted media. Exploitation requires user interaction and may result in application termination or code execution with the privileges of the VLC process.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-18 17:10 UTC
Assigner
VulnCheck
CNA
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/videolan/vlc | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| VideoLAN | VLC media player |
Affected:
3.0.0 , ≤ 3.0.23
(semver)
cpe:2.3:a:videolan:vlc_media_player:*:*:*:*:*:*:*:* |
Date Public
2026-08-23 00:00
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CVE-2026-56449 (GCVE-0-2026-56449)
Vulnerability from cvelistv5 – Published: 2026-10-01 16:06 – Updated: 2026-10-21 07:59
VLAI
EPSS
VEX
Title
Apache HTTP Server: mod_proxy_html: crash in dump_content
Summary
Out-of-bounds Write vulnerability in Apache HTTP Server's mod_proxy_html with crafted HTTP response bodies.
This issue affects Apache HTTP Server version 2.4.68.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-01 18:33 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
apache
CNA
References
2 references
| URL | Tags |
|---|---|
| https://httpd.apache.org/security/vulnerabilities… | vendor-advisory |
| http://www.openwall.com/lists/oss-security/2026/1… |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache HTTP Server |
Affected:
2.4.68
(semver)
|
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CVE-2026-56388 (GCVE-0-2026-56388)
Vulnerability from cvelistv5 – Published: 2026-10-21 11:40 – Updated: 2026-10-30 13:57
VLAI
EPSS
VEX
Title
Apache bRPC: Out-of-Bounds Write in Redis Command Parser
Summary
The Redis server command parser in Apache bRPC accepts an empty RESP array as a command header. A remote unauthenticated attacker who can reach a bRPC server with Redis service enabled can send an empty array header followed by a bulk string, causing an out-of-bounds write in the parser and crashing the process.
Root Cause:
RedisCommandParser::ConsumeImpl rejected negative RESP array counts but accepted zero. It resized the command argument vector to zero elements and continued parsing. When a following bulk string was parsed, the only index guard was a CHECK. In configurations where fatal logs do not abort immediately, execution could continue and write to _args[0] even though the vector was empty.
Affected Scenarios:
Deployments that enable ServerOptions.redis_service and accept Redis protocol traffic from untrusted clients. The issue is reached during parsing before command handling or authentication.
How to Fix:
1. Upgrade bRPC to version 1.18.0, which fixes this issue.
2. Apply this patch: https://github.com/apache/brpc/pull/3354
Note:
The fix rejects empty RESP arrays as invalid Redis commands and replaces the internal index CHECK with an explicit parse error so malformed command streams cannot fall through to an indexed vector write.
Severity
9.1 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-30 13:57 UTC
Assigner
apache
CNA
References
1 reference
| URL | Tags |
|---|---|
| https://lists.apache.org/thread/2pf15ojj0vr7rtx95… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache bRPC |
Affected:
0 , < 1.18.0
(semver)
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CVE-2026-56211 (GCVE-0-2026-56211)
Vulnerability from cvelistv5 – Published: 2026-06-19 16:28 – Updated: 2026-11-04 22:51
VLAI
EPSS
VEX
Title
Libaom: libaom: remote code execution via svc layer context handling with attacker-controlled frames
Summary
A remote code execution vulnerability was found in libaom, the reference AV1 codec implementation. Insufficient bounds validation in the AV1 encoder's SVC (Scalable Video Coding) layer ID control allows an attacker to supply crafted video frame pixels that overlap with internal encoder layer context structures. In fork-based video processing services, an attacker can use this to hijack the cyclic refresh map pointer, brute-force the process base address via a crash oracle, and redirect control flow to achieve arbitrary command execution. Exploitation requires the target service to use libaom with SVC encoding enabled and accept attacker-supplied video frames.
Severity
7.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-25 03:55 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
redhat
CNA
References
53 references
Impacted products
57 products
| Vendor | Product | Version | |
|---|---|---|---|
| Red Hat | Red Hat Enterprise Linux AI 3.3 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.4 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.5 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.5::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787860580 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787772157 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787884873 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1789508287 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1789502493 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1789504371 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1789582776 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790936334 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790936351 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790850900 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790866732 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790791893 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790954179 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Hardened Images |
Unaffected:
3.14.0-0.1.hum1 , < *
(rpm)
cpe:/a:redhat:hummingbird:1 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1789137552 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1789137548 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1789137636 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1789137641 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1789137607 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1786611800 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197680 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197530 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197632 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197747 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197549 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788199622 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197744 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197677 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1791785804 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788198404 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788198407 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197492 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197542 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197975 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197512 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197688 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197385 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788198016 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703552 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703656 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703557 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703645 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703554 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703630 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703706 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
|
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/a:redhat:enterprise_linux:10
|
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/a:redhat:enterprise_linux:9
|
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
|
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/o:redhat:enterprise_linux:10
|
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9
|
Date Public
2026-06-19 00:00
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"datePublished": "2026-06-19T16:28:33.603Z",
"dateReserved": "2026-06-19T15:50:16.801Z",
"dateUpdated": "2026-11-04T22:51:47.929Z",
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CVE-2026-56209 (GCVE-0-2026-56209)
Vulnerability from cvelistv5 – Published: 2026-06-19 16:28 – Updated: 2026-11-04 22:51
VLAI
EPSS
VEX
Title
Libaom: libaom: arbitrary address write via svc layer context oob and cyclic refresh map pointer hijack
Summary
An arbitrary address write vulnerability was found in libaom, the reference AV1 codec implementation. A missing bounds check in the SVC (Scalable Video Coding) layer ID control function allows an attacker to inject an arbitrary pointer into the cyclic refresh map field via crafted image pixel values. The encoder then writes approximately 1,200 bytes at the attacker-controlled address. This is fully deterministic and does not require a separate information leak. An attacker who can supply frames to a network-facing libaom encoder with SVC enabled could exploit this for denial of service or potential code execution.
Severity
7.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-25 03:55 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
redhat
CNA
References
53 references
Impacted products
57 products
| Vendor | Product | Version | |
|---|---|---|---|
| Red Hat | Red Hat Enterprise Linux AI 3.3 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.4 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.5 for RHEL 9 |
Unaffected:
0:3.14.0-1.el9ai , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.5::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787860580 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787772157 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1787884873 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1789508287 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1789502493 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1789504371 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1789582776 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790936334 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790936351 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790850900 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790866732 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790791893 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Enterprise Linux AI 3.3 |
Unaffected:
1790954179 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
|
| Red Hat | Red Hat Hardened Images |
Unaffected:
3.14.0-0.1.hum1 , < *
(rpm)
cpe:/a:redhat:hummingbird:1 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1789137552 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1789137548 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1789137636 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1789137641 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1789137607 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1786611800 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197680 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197530 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197632 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197747 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197549 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788199622 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197744 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1788197677 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1791785804 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788198404 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788198407 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197492 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197542 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197975 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197512 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197688 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788197385 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1788198016 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703552 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703656 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703557 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703645 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703554 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703630 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.5 |
Unaffected:
1790703706 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.5::el9 |
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
|
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/a:redhat:enterprise_linux:10
|
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/a:redhat:enterprise_linux:9
|
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
|
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/o:redhat:enterprise_linux:10
|
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9
|
Date Public
2026-06-19 00:00
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"value": "RHSA-2026:30814: Red Hat Hardened Images"
},
{
"lang": "en",
"value": "RHSA-2026:60520: Red Hat OpenShift AI 3.4"
}
],
"timeline": [
{
"lang": "en",
"time": "2026-06-19T00:00:00.000Z",
"value": "Reported to Red Hat."
},
{
"lang": "en",
"time": "2026-06-19T00:00:00.000Z",
"value": "Made public."
}
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"title": "libaom: libaom: arbitrary address write via SVC layer context OOB and cyclic refresh map pointer hijack",
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"value": "There is no complete mitigation for this vulnerability. The following measures can reduce risk:\n\n1. If using libaom as a standalone encoder library with SVC enabled, validate that spatial_layer_id and temporal_layer_id values are within the configured range [0, configured_layers) before calling aom_codec_control with AV1E_SET_SVC_LAYER_ID.\n2. Restrict access to encoding services to trusted clients only. Do not expose libaom SVC encoder configuration to untrusted input.\n3. For Firefox and Thunderbird, ensure browsers are updated to versions that include the patched libaom (v3.14.0 or later).\n4. Deploy encoding services with ASLR, stack canaries, and other exploit mitigation technologies enabled."
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"datePublished": "2026-06-19T16:28:26.462Z",
"dateReserved": "2026-06-19T15:50:16.801Z",
"dateUpdated": "2026-11-04T22:51:42.043Z",
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Mitigation MIT-3
Requirements
Strategy: Language Selection
- Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- For example, many languages that perform their own memory management, such as Java and Perl, are not subject to buffer overflows. Other languages, such as Ada and C#, typically provide overflow protection, but the protection can be disabled by the programmer.
- Be wary that a language's interface to native code may still be subject to overflows, even if the language itself is theoretically safe.
Mitigation MIT-4.1
Architecture and Design
Strategy: Libraries or Frameworks
- Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- Examples include the Safe C String Library (SafeStr) by Messier and Viega [REF-57], and the Strsafe.h library from Microsoft [REF-56]. These libraries provide safer versions of overflow-prone string-handling functions.
Mitigation MIT-10
Operation
Build and Compilation
Strategy: Environment Hardening
- Use automatic buffer overflow detection mechanisms that are offered by certain compilers or compiler extensions. Examples include: the Microsoft Visual Studio /GS flag, Fedora/Red Hat FORTIFY_SOURCE GCC flag, StackGuard, and ProPolice, which provide various mechanisms including canary-based detection and range/index checking.
- D3-SFCV (Stack Frame Canary Validation) from D3FEND [REF-1334] discusses canary-based detection in detail.
Mitigation MIT-9
Implementation
- Consider adhering to the following rules when allocating and managing an application's memory:
- Double check that the buffer is as large as specified.
- When using functions that accept a number of bytes to copy, such as strncpy(), be aware that if the destination buffer size is equal to the source buffer size, it may not NULL-terminate the string.
- Check buffer boundaries if accessing the buffer in a loop and make sure there is no danger of writing past the allocated space.
- If necessary, truncate all input strings to a reasonable length before passing them to the copy and concatenation functions.
Mitigation MIT-11
Operation
Build and Compilation
Strategy: Environment Hardening
- Run or compile the software using features or extensions that randomly arrange the positions of a program's executable and libraries in memory. Because this makes the addresses unpredictable, it can prevent an attacker from reliably jumping to exploitable code.
- Examples include Address Space Layout Randomization (ASLR) [REF-58] [REF-60] and Position-Independent Executables (PIE) [REF-64]. Imported modules may be similarly realigned if their default memory addresses conflict with other modules, in a process known as "rebasing" (for Windows) and "prelinking" (for Linux) [REF-1332] using randomly generated addresses. ASLR for libraries cannot be used in conjunction with prelink since it would require relocating the libraries at run-time, defeating the whole purpose of prelinking.
- For more information on these techniques see D3-SAOR (Segment Address Offset Randomization) from D3FEND [REF-1335].
Mitigation MIT-12
Operation
Strategy: Environment Hardening
- Use a CPU and operating system that offers Data Execution Protection (using hardware NX or XD bits) or the equivalent techniques that simulate this feature in software, such as PaX [REF-60] [REF-61]. These techniques ensure that any instruction executed is exclusively at a memory address that is part of the code segment.
- For more information on these techniques see D3-PSEP (Process Segment Execution Prevention) from D3FEND [REF-1336].
Mitigation MIT-13
Implementation
Replace unbounded copy functions with analogous functions that support length arguments, such as strcpy with strncpy. Create these if they are not available.
No CAPEC attack patterns related to this CWE.