CVE-2026-33019: CWE-125: Out-of-bounds Read in saitoha libsixel
libsixel versions prior to 1. 8. 7-r1 contain an integer overflow vulnerability in the --crop option handling of img2sixel. This flaw allows an out-of-bounds heap read when processing specially crafted crop arguments with large positive coordinates, potentially causing a crash and information disclosure. The issue arises because the sum of clip coordinates can overflow, bypassing bounds checks and leading to unsafe memory operations. The vulnerability is fixed in version 1. 8. 7-r1.
AI Analysis
Technical Summary
The vulnerability in libsixel (CVE-2026-33019) is an integer overflow leading to an out-of-bounds heap read in the --crop option of img2sixel. Specifically, when clip_x is set to INT_MAX, the addition clip_w + clip_x overflows to a negative value, causing the bounds guard to be skipped. This results in a source pointer far beyond the image buffer being passed to memmove(), triggering an out-of-bounds read. An attacker can exploit this by supplying a crafted crop argument with any valid image, causing a reliable crash and potential information disclosure. The issue is resolved in libsixel version 1.8.7-r1.
Potential Impact
Exploitation of this vulnerability can cause a denial of service via application crash and may lead to information disclosure due to out-of-bounds heap reads. The CVSS 3.1 score is 7.1 (high), reflecting local attack vector with low complexity, no privileges required, user interaction needed, unchanged scope, high confidentiality impact, no integrity impact, and high availability impact.
Mitigation Recommendations
This vulnerability is fixed in libsixel version 1.8.7-r1. Users and administrators should upgrade to version 1.8.7-r1 or later to remediate this issue. No other mitigation or temporary workaround is indicated by the vendor advisory.
CVE-2026-33019: CWE-125: Out-of-bounds Read in saitoha libsixel
Description
libsixel versions prior to 1. 8. 7-r1 contain an integer overflow vulnerability in the --crop option handling of img2sixel. This flaw allows an out-of-bounds heap read when processing specially crafted crop arguments with large positive coordinates, potentially causing a crash and information disclosure. The issue arises because the sum of clip coordinates can overflow, bypassing bounds checks and leading to unsafe memory operations. The vulnerability is fixed in version 1. 8. 7-r1.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in libsixel (CVE-2026-33019) is an integer overflow leading to an out-of-bounds heap read in the --crop option of img2sixel. Specifically, when clip_x is set to INT_MAX, the addition clip_w + clip_x overflows to a negative value, causing the bounds guard to be skipped. This results in a source pointer far beyond the image buffer being passed to memmove(), triggering an out-of-bounds read. An attacker can exploit this by supplying a crafted crop argument with any valid image, causing a reliable crash and potential information disclosure. The issue is resolved in libsixel version 1.8.7-r1.
Potential Impact
Exploitation of this vulnerability can cause a denial of service via application crash and may lead to information disclosure due to out-of-bounds heap reads. The CVSS 3.1 score is 7.1 (high), reflecting local attack vector with low complexity, no privileges required, user interaction needed, unchanged scope, high confidentiality impact, no integrity impact, and high availability impact.
Mitigation Recommendations
This vulnerability is fixed in libsixel version 1.8.7-r1. Users and administrators should upgrade to version 1.8.7-r1 or later to remediate this issue. No other mitigation or temporary workaround is indicated by the vendor advisory.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-03-17T17:22:14.667Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69deb96d82d89c981f0b1a0d
Added to database: 4/14/2026, 10:02:21 PM
Last enriched: 4/14/2026, 10:17:51 PM
Last updated: 4/14/2026, 11:04:02 PM
Views: 4
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