CVE-2026-8813: Improper Validation of Specified Quantity in Input in exifreader
This affects versions of the package exifreader before 4.39.0. A crafted image containing an ICC mluc tag can set an attacker-controlled record count together with a zero record size. During parsing, ExifReader repeatedly processes the same record and appends entries to an array without sufficient bounds validation, causing excessive memory growth. In applications that parse attacker-supplied images, this may lead to denial of service through memory exhaustion.
AI Analysis
Technical Summary
The vulnerability in exifreader prior to version 4.39.0 arises from insufficient validation of the quantity specified in the ICC mluc tag of an image. An attacker can craft an image with a manipulated record count and zero record size, causing the parser to enter a loop where it repeatedly processes the same record and appends data to an array without proper bounds checks. This results in excessive memory growth, potentially exhausting system memory and causing denial of service in applications that parse such images.
Potential Impact
Successful exploitation can lead to denial of service through memory exhaustion in applications that use vulnerable versions of exifreader to parse attacker-supplied images. There is no indication of privilege escalation, code execution, or data leakage from the provided data.
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.
CVE-2026-8813: Improper Validation of Specified Quantity in Input in exifreader
Description
This affects versions of the package exifreader before 4.39.0. A crafted image containing an ICC mluc tag can set an attacker-controlled record count together with a zero record size. During parsing, ExifReader repeatedly processes the same record and appends entries to an array without sufficient bounds validation, causing excessive memory growth. In applications that parse attacker-supplied images, this may lead to denial of service through memory exhaustion.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in exifreader prior to version 4.39.0 arises from insufficient validation of the quantity specified in the ICC mluc tag of an image. An attacker can craft an image with a manipulated record count and zero record size, causing the parser to enter a loop where it repeatedly processes the same record and appends data to an array without proper bounds checks. This results in excessive memory growth, potentially exhausting system memory and causing denial of service in applications that parse such images.
Potential Impact
Successful exploitation can lead to denial of service through memory exhaustion in applications that use vulnerable versions of exifreader to parse attacker-supplied images. There is no indication of privilege escalation, code execution, or data leakage from the provided data.
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.
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: 5/19/2026, 6:21:46 AM
Last enriched: 5/19/2026, 6:36:34 AM
Last updated: 5/20/2026, 5:52:25 PM
Views: 21
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.