Critical iccDEV Vulnerabilities Expose Image Pipelines to High-Risk Attacks – Patch Immediately

Product: iccDEV

iccDEV is a color profile processing library commonly embedded in image pipelines, document converters, print services, and media processing platforms. It automatically parses ICC color profiles, making it a high-risk component when handling untrusted image content.


Vulnerability Summary Table

CVE IDVulnerability TypeCVSS ScoreSeverityExploitabilityExploit AvailabilityImpact
CVE-2026-21675Use After Free8.8HighHighNo public PoCMemory corruption, possible RCE
CVE-2026-21673Integer Overflow / Underflow8.1HighHighNo public PoCCrash, memory overwrite
CVE-2026-21507Infinite Loop (DoS)7.5HighVery HighEasily reproducibleCPU exhaustion, service outage

CVE-2026-21675 – Use After Free

Vulnerability Overview

CVE ID: CVE-2026-21675
Product: iccDEV
Vulnerability Type: Use After Free
CVSS Score: 8.8
Severity: High
Attack Vector: Remote / Local (crafted ICC file)
User Interaction: Required (automatic file processing)
Exploitability: High
Exploit Availability: No public exploit, but technically feasible


Description

iccDEV fails to properly manage memory during ICC profile parsing. When malformed ICC data triggers an internal error, memory allocated for profile structures is freed too early. Despite this, the application later attempts to access that freed memory.

This results in a classic use-after-free condition, allowing attackers to corrupt memory or influence application behavior.


Exploitation Details

An attacker can exploit this issue by creating a specially crafted ICC profile that:

  • Forces allocation of multiple ICC tag structures
  • Triggers error-handling logic that frees those structures
  • Causes execution to continue using stale memory pointers

If the freed memory is reallocated or overwritten, this can lead to:

  • Application crashes
  • Heap corruption
  • Potential execution of attacker-controlled code

Attack Scenarios

  • Uploading a malicious image to a web application that extracts color profiles
  • Injecting ICC metadata into documents processed automatically
  • Triggering crashes in automated image conversion pipelines

MITRE ATT&CK Mapping

  • T1203 – Exploitation for Client Execution
  • T1499 – Endpoint Denial of Service
  • T1059 – Command Execution (follow-on activity)

Detection & Monitoring

Indicators

  • Segmentation faults during ICC parsing
  • Access violation errors
  • Repeated crashes linked to image processing

Log Sources

  • Application logs
  • OS crash logs
  • Container and service restart logs

Payload Indicators

  • ICC files with overlapping tag offsets
  • Unusual tag counts
  • Invalid memory references in tag tables

Splunk Detection Rule (SPL)

index=app_logs
("segmentation fault" OR "access violation")
AND ("icc" OR "icc profile")
| stats count by host, process

Microsoft Sentinel Detection Rule (KQL)

AppCrashLogs
| where ErrorMessage has_any ("segmentation fault", "access violation")
| where ProcessName contains "icc"
| summarize count() by Computer, ProcessName

Remediation

Upgrade iccDEV to version 2.3.1.1 or later

Official Patch Link:
https://iccdev.org/releases/2.3.1.1


CVE-2026-21673 – Integer Overflow / Underflow

Vulnerability Overview

CVE ID: CVE-2026-21673
Product: iccDEV
Vulnerability Type: Integer Overflow / Underflow
CVSS Score: 8.1
Severity: High
Attack Vector: Remote / Local
User Interaction: Required
Exploitability: High


Description

iccDEV does not adequately validate numeric values within ICC profiles. Malformed values can cause integer calculations to overflow or underflow, resulting in incorrect memory allocation sizes.

This can lead to memory writes beyond allocated boundaries or attempts to allocate invalid buffer sizes.


Exploitation Details

An attacker can craft ICC files with:

  • Extremely large length values
  • Negative values interpreted as unsigned integers
  • Malformed offset calculations

These values cause memory corruption or immediate application crashes.


MITRE ATT&CK Mapping

  • T1203 – Exploitation for Client Execution
  • T1068 – Privilege Escalation
  • T1499 – Denial of Service

Detection & Monitoring

Indicators

  • Heap corruption errors
  • Crashes tied to specific ICC files
  • Memory allocation failures

Log Sources

  • Application debug logs
  • Memory allocator logs
  • Crash dump analysis

Payload Indicators

  • Oversized ICC profile sizes
  • Negative or inconsistent tag length fields

Splunk Detection Rule (SPL)

index=app_logs
("heap corruption" OR "integer overflow")
AND "icc"
| stats count by host

Microsoft Sentinel Detection Rule (KQL)

AppCrashLogs
| where ErrorMessage has_any ("heap corruption", "overflow")
| where ProcessName contains "icc"
| summarize count() by Computer

Remediation

Apply the vendor patch addressing integer validation.

Official Patch Link:
https://iccdev.org/security/advisories/CVE-2026-21673


CVE-2026-21507 – Infinite Loop (Denial of Service)

Vulnerability Overview

CVE ID: CVE-2026-21507
Product: iccDEV
Vulnerability Type: Infinite Loop
CVSS Score: 7.5
Severity: High
Attack Vector: Remote
Exploitability: Very High
Exploit Availability: Easily reproducible


Description

iccDEV lacks proper termination conditions when parsing certain ICC structures. Malformed profiles can force the parser into an infinite loop, consuming CPU resources indefinitely.

This vulnerability is trivial to exploit and does not require memory corruption.


Exploitation Details

Attackers can supply ICC profiles with:

  • Recursive tag references
  • Zero-increment loop counters
  • Invalid loop termination markers

Processing such files results in sustained CPU usage until the process is terminated.


MITRE ATT&CK Mapping

  • T1499 – Endpoint Denial of Service
  • T1498 – Resource Exhaustion

Detection & Monitoring

Indicators

  • Sudden CPU spikes
  • Hung or stalled image processing jobs
  • Requests that never complete

Log Sources

  • Performance metrics
  • Application timing logs
  • OS resource monitoring logs

Payload Indicators

  • ICC files causing unusually long parse times
  • Profiles with cyclic tag definitions

Splunk Detection Rule (SPL)

index=perf_logs
cpu_usage>90
AND process="icc*"
| stats avg(cpu_usage) by host, process

Microsoft Sentinel Detection Rule (KQL)

Perf
| where CounterName == "% Processor Time"
| where InstanceName contains "icc"
| where CounterValue > 90
| summarize avg(CounterValue) by Computer

Remediation

Apply the vendor patch introducing loop limits and timeout controls.

Official Patch Link:
https://iccdev.org/security/advisories/CVE-2026-21507


Final Takeaway

  • Treat ICC files as untrusted input
  • Monitor image pipelines closely
  • Apply patches immediately
  • Restrict ICC parsing where not required

Aegiron

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