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Vulnerability Database/CVE-2026-106627

CVE-2026-106627: CAI Content Credentials DOS Vulnerability

CVE-2026-106627 is a denial-of-service vulnerability in CAI Content Credentials caused by uncontrolled resource consumption. Attackers can exhaust system resources without user interaction. This article covers technical details, impact analysis, and mitigation strategies.

Published:

CVE-2026-106627 Overview

CVE-2026-106627 is an uncontrolled resource consumption vulnerability [CWE-400] in Adobe CAI Content Credentials. An unauthenticated remote attacker can exhaust system resources, triggering an application denial-of-service condition. Exploitation requires no user interaction and no privileges, making the issue trivial to weaponize over the network.

Adobe published advisory APSB26-163 to address the flaw. The vulnerability affects the availability of the Content Credentials Software Development Kit (SDK), used to embed and verify provenance metadata in digital media.

Critical Impact

Remote attackers can cause full application denial-of-service against systems running the CAI Content Credentials SDK without authentication or user interaction.

Affected Products

  • Adobe CAI Content Credentials SDK (see Adobe advisory APSB26-163 for affected versions)
  • Applications and services that integrate the Content Credentials SDK
  • Downstream media provenance workflows relying on the vulnerable SDK

Discovery Timeline

  • 2026-10-13 - CVE-2026-106627 published to the National Vulnerability Database (NVD)
  • 2026-10-14 - Last updated in NVD database

Technical Details for CVE-2026-106627

Vulnerability Analysis

The vulnerability resides in how the CAI Content Credentials SDK handles resource allocation when processing input. An attacker submits crafted content that forces the SDK to consume excessive memory, central processing unit (CPU) cycles, or file descriptors. The runtime cannot bound this consumption, leading to the application becoming unresponsive or crashing.

Because the attack vector is network-based and requires neither privileges nor interaction, any service exposing the SDK to untrusted input is reachable. Repeated requests amplify the impact and can degrade the entire host.

Root Cause

The root cause is improper enforcement of resource limits during parsing or verification of content credential data [CWE-400]. The SDK accepts input that triggers disproportionate server-side work relative to the request size, a hallmark of algorithmic or allocation-based denial-of-service weaknesses.

Adobe's advisory APSB26-163 identifies the condition and provides fixed SDK builds. Technical specifics of the parsing path are documented in the Adobe Security Bulletin APSB26-163.

Attack Vector

An unauthenticated remote attacker delivers malicious input to any endpoint that passes data through the Content Credentials SDK. This includes media upload endpoints, verification services, and automated ingestion pipelines. The attacker does not need valid credentials or any interaction from a legitimate user. Successful exploitation produces a denial-of-service condition that interrupts media provenance validation and any dependent application function.

No public proof-of-concept exploit is listed in the enriched data, and the vulnerability is not currently tracked in the Cybersecurity and Infrastructure Security Agency (CISA) Known Exploited Vulnerabilities catalog. The Exploit Prediction Scoring System (EPSS) rates the probability at 0.636%.

Detection Methods for CVE-2026-106627

Indicators of Compromise

  • Sudden spikes in memory or CPU utilization on hosts running the Content Credentials SDK with no corresponding legitimate workload increase.
  • Application crashes, timeouts, or restart loops in services that parse content credential manifests.
  • Large volumes of malformed or oversized media upload requests from a limited set of source Internet Protocol (IP) addresses.

Detection Strategies

  • Baseline resource consumption of SDK-integrated services and alert on deviations exceeding normal operational thresholds.
  • Inspect application logs for repeated parser exceptions, allocation failures, or watchdog-triggered restarts tied to Content Credentials processing.
  • Deploy rate limiting and anomaly detection at the ingress layer to flag abusive request patterns against media provenance endpoints.

Monitoring Recommendations

  • Forward application and host telemetry to a centralized analytics platform for correlation across process crashes, resource exhaustion, and network sources.
  • Monitor for availability regressions in services that depend on Content Credentials verification during content ingestion.
  • Track upstream Adobe advisories and NVD updates for additional affected version ranges.

How to Mitigate CVE-2026-106627

Immediate Actions Required

  • Apply the patched Content Credentials SDK version identified in Adobe advisory APSB26-163 as soon as possible.
  • Inventory all applications and build artifacts that embed the SDK, including container images and third-party integrations.
  • Restrict exposure of SDK-backed endpoints to trusted networks until patches are deployed.

Patch Information

Adobe addressed CVE-2026-106627 in the Content Credentials SDK update described in the Adobe Security Bulletin APSB26-163. Rebuild and redeploy any downstream applications that statically link or bundle the SDK after upgrading.

Workarounds

  • Enforce strict request size limits and timeouts on endpoints that invoke the SDK to constrain resource consumption.
  • Place a reverse proxy or Web Application Firewall (WAF) in front of exposed services and apply rate limiting per source IP.
  • Isolate SDK processing into dedicated workers with cgroup or container-level memory and CPU caps to contain exhaustion attempts.
bash
# Example: constrain an SDK worker container with CPU and memory limits
docker run --name cai-worker \
  --cpus="1.0" \
  --memory="512m" \
  --memory-swap="512m" \
  --pids-limit=256 \
  --restart=on-failure:5 \
  cai-content-credentials-worker:patched

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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