CVE-2026-1489: Out-of-bounds Write in Red Hat Red Hat Enterprise Linux 10
A flaw was found in GLib. An integer overflow vulnerability in its Unicode case conversion implementation can lead to memory corruption. By processing specially crafted and extremely large Unicode strings, an attacker could trigger an undersized memory allocation, resulting in out-of-bounds writes. This could cause applications utilizing GLib for string conversion to crash or become unstable.
AI Analysis
Technical Summary
An integer overflow in GLib's Unicode case conversion can trigger an undersized memory allocation, resulting in out-of-bounds writes. This memory corruption affects applications on Red Hat Enterprise Linux 10 that utilize GLib for string conversion. The vulnerability arises from processing specially crafted, extremely large Unicode strings. The CVSS 3.1 base score is 5.4 (medium), with network attack vector, low attack complexity, no privileges required, user interaction required, unchanged scope, no confidentiality impact, limited integrity impact, and limited availability impact.
Potential Impact
Successful exploitation can cause memory corruption leading to application crashes or instability. There is no indication of confidentiality compromise. The impact is limited to integrity and availability of affected applications. No known active exploitation has been reported.
Mitigation Recommendations
Patch status is not yet confirmed — check the Red Hat advisory at https://access.redhat.com/security/cve/CVE-2026-1489 for current remediation guidance. Until official fixes are confirmed, avoid processing untrusted or extremely large Unicode strings with affected GLib versions. Monitor the vendor advisory for updates on patches or workarounds.
CVE-2026-1489: Out-of-bounds Write in Red Hat Red Hat Enterprise Linux 10
Description
A flaw was found in GLib. An integer overflow vulnerability in its Unicode case conversion implementation can lead to memory corruption. By processing specially crafted and extremely large Unicode strings, an attacker could trigger an undersized memory allocation, resulting in out-of-bounds writes. This could cause applications utilizing GLib for string conversion to crash or become unstable.
CVSS v3.1
Score 5.4medium
Affected software
Red Hat
Red Hat Enterprise Linux 10
Red Hat
Red Hat Enterprise Linux 6
Red Hat
Red Hat Enterprise Linux 7
Red Hat
Red Hat Enterprise Linux 8
Red Hat
Red Hat Enterprise Linux 9
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
An integer overflow in GLib's Unicode case conversion can trigger an undersized memory allocation, resulting in out-of-bounds writes. This memory corruption affects applications on Red Hat Enterprise Linux 10 that utilize GLib for string conversion. The vulnerability arises from processing specially crafted, extremely large Unicode strings. The CVSS 3.1 base score is 5.4 (medium), with network attack vector, low attack complexity, no privileges required, user interaction required, unchanged scope, no confidentiality impact, limited integrity impact, and limited availability impact.
Potential Impact
Successful exploitation can cause memory corruption leading to application crashes or instability. There is no indication of confidentiality compromise. The impact is limited to integrity and availability of affected applications. No known active exploitation has been reported.
Mitigation Recommendations
Patch status is not yet confirmed — check the Red Hat advisory at https://access.redhat.com/security/cve/CVE-2026-1489 for current remediation guidance. Until official fixes are confirmed, avoid processing untrusted or extremely large Unicode strings with affected GLib versions. Monitor the vendor advisory for updates on patches or workarounds.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- redhat
- Date Reserved
- 2026-01-27T14:00:10.886Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Vendor Advisory Urls
- [{"url":"https://access.redhat.com/security/cve/CVE-2026-1489","vendor":"Red Hat"}]
Threat ID: 6978d0d04623b1157c302b1c
Added to database: 01/27/2026, 14:50:56 UTC
Last enriched: 06/02/2026, 20:07:26 UTC
Last updated: 09/10/2026, 22:18:27 UTC
Views: 217
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