CVE-2026-8813: Improper Validation of Specified Quantity in Input in exifreader
CVE-2026-8813 is a high-severity vulnerability in exifreader versions before 4.39.0. It involves improper validation of an attacker-controlled record count combined with a zero record size in a crafted image's ICC mluc tag. This flaw causes the parser to repeatedly process the same record and append entries without bounds checking, leading to excessive memory consumption. Applications parsing untrusted images may experience denial of service due to memory exhaustion. No official patch or remediation guidance is currently confirmed.
AI Analysis
Technical Summary
The vulnerability in exifreader arises from insufficient bounds validation when parsing the ICC mluc tag in image metadata. An attacker can craft an image with a manipulated record count and zero record size, causing the parser to loop over the same record repeatedly and append data to an array without limit. This results in excessive memory growth and potential denial of service. The issue affects all versions prior to 4.39.0. There is no vendor advisory or patch information available at this time.
Potential Impact
Successful exploitation can cause denial of service through memory exhaustion in applications that parse attacker-supplied images using vulnerable versions of exifreader. This could lead to application crashes or system instability. There is no indication of code execution or data corruption beyond resource exhaustion.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, consider restricting or validating image inputs from untrusted sources to reduce exposure. Monitor for updates from the exifreader maintainers regarding patches or official mitigations.
CVE-2026-8813: Improper Validation of Specified Quantity in Input in exifreader
Description
CVE-2026-8813 is a high-severity vulnerability in exifreader versions before 4.39.0. It involves improper validation of an attacker-controlled record count combined with a zero record size in a crafted image's ICC mluc tag. This flaw causes the parser to repeatedly process the same record and append entries without bounds checking, leading to excessive memory consumption. Applications parsing untrusted images may experience denial of service due to memory exhaustion. No official patch or remediation guidance is currently confirmed.
CVSS v4.0
Score 8.7high
Affected software
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in exifreader arises from insufficient bounds validation when parsing the ICC mluc tag in image metadata. An attacker can craft an image with a manipulated record count and zero record size, causing the parser to loop over the same record repeatedly and append data to an array without limit. This results in excessive memory growth and potential denial of service. The issue affects all versions prior to 4.39.0. There is no vendor advisory or patch information available at this time.
Potential Impact
Successful exploitation can cause denial of service through memory exhaustion in applications that parse attacker-supplied images using vulnerable versions of exifreader. This could lead to application crashes or system instability. There is no indication of code execution or data corruption beyond resource exhaustion.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, consider restricting or validating image inputs from untrusted sources to reduce exposure. Monitor for updates from the exifreader maintainers regarding patches or official mitigations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- snyk
- Date Reserved
- 2026-05-18T08:43:25.130Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a0c017aec166c07b0739c1c
Added to database: 05/19/2026, 06:21:46 UTC
Last enriched: 05/26/2026, 08:28:06 UTC
Last updated: 07/31/2026, 19:23:00 UTC
Views: 107
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