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CVE Vulnerability Database

CVE-2024-3727: Containers Image Library Path Traversal

CVE-2024-3727 is a path traversal vulnerability in the github.com/containers/image library that enables attackers to trigger unauthorized registry accesses, resource exhaustion, and local path traversal on behalf of victims.

Updated:

CVE-2024-3727 Overview

A security flaw was discovered in the github.com/containers/image library that allows attackers to trigger unexpected authenticated registry accesses on behalf of a victim user. This vulnerability can lead to resource exhaustion, local path traversal, and other attacks by exploiting improper integrity check handling within the container image processing workflow.

Critical Impact

Attackers can leverage this vulnerability to perform unauthorized registry accesses using victim credentials, potentially leading to credential theft, resource exhaustion attacks, and local path traversal exploits.

Affected Products

  • github.com/containers/image library (all versions prior to patches)
  • Red Hat Enterprise Linux and related container tools (Podman, Buildah, Skopeo)
  • Fedora distributions using affected container image libraries

Discovery Timeline

  • 2024-05-14 - CVE-2024-3727 published to NVD
  • 2025-02-25 - Last updated in NVD database

Technical Details for CVE-2024-3727

Vulnerability Analysis

The vulnerability resides in the github.com/containers/image library, which is widely used by container management tools including Podman, Buildah, and Skopeo. The flaw relates to improper integrity check verification (CWE-354) during container image operations.

When processing container images, the library fails to properly validate certain integrity checks, allowing an attacker to craft malicious image references or configurations that redirect authenticated registry requests to attacker-controlled endpoints. This happens because the library does not adequately verify the authenticity of image manifests and related metadata before using stored credentials to access registries.

The attack requires user interaction, as the victim must be tricked into pulling or interacting with a malicious container image or registry. Once triggered, the attacker can capture authentication tokens, exhaust resources through forced registry operations, or exploit path traversal vectors to access local files.

Root Cause

The root cause is improper verification of integrity checks (CWE-354) in the container image library. The library does not sufficiently validate that image references and registry responses match expected values before proceeding with authenticated operations. This allows attackers to manipulate the image resolution process to redirect requests or access unintended resources.

Attack Vector

The attack is network-based and requires the attacker to craft a malicious container image reference or control a rogue registry. When a victim user attempts to pull or interact with the crafted image using tools that rely on the vulnerable library, the following attack scenarios become possible:

  1. Credential Capture: The attacker redirects authenticated requests to their controlled registry, capturing authentication tokens
  2. Resource Exhaustion: Forced repeated registry accesses can exhaust network and compute resources
  3. Path Traversal: Malformed image paths can be used to access local filesystem resources outside intended directories

The attack requires some user interaction (victim must initiate an image operation) and has high attack complexity due to the specific conditions needed for successful exploitation.

Detection Methods for CVE-2024-3727

Indicators of Compromise

  • Unexpected outbound connections to unknown container registries from hosts running container tools
  • Authentication token leakage detected in network traffic to non-standard registry endpoints
  • Unusual file system access patterns from container image processing operations
  • Anomalous resource consumption during container pull operations

Detection Strategies

  • Monitor network traffic for connections to unexpected container registry endpoints
  • Implement logging for all container image pull operations and registry authentication events
  • Deploy file integrity monitoring on systems running container workloads to detect path traversal attempts
  • Use network segmentation to restrict container tool access to approved registries only

Monitoring Recommendations

  • Enable verbose logging in Podman, Buildah, and Skopeo to capture detailed operation logs
  • Set up alerts for registry authentication failures or redirects to non-whitelisted registries
  • Monitor system resource utilization for unexpected spikes during container operations
  • Review container image sources and implement registry allowlists

How to Mitigate CVE-2024-3727

Immediate Actions Required

  • Update the github.com/containers/image library and related container tools to patched versions
  • Apply Red Hat security updates referenced in the multiple RHSA advisories (see Red Hat CVE Report CVE-2024-3727)
  • Review and restrict which registries are trusted in container tool configurations
  • Audit container operations for any signs of exploitation

Patch Information

Multiple patches have been released across Red Hat and Fedora distributions. Organizations should apply the relevant security updates:

Workarounds

  • Restrict container image pulls to trusted, verified registries only using registry configuration files
  • Implement network-level controls to block connections to unapproved container registries
  • Use signature verification for container images to ensure integrity before pulling
  • Consider running container operations in isolated network environments until patches are applied
bash
# Example: Configure trusted registries in registries.conf
# Location: /etc/containers/registries.conf

# Restrict to trusted registries only
[registries.search]
registries = ['registry.redhat.io', 'docker.io']

# Block unqualified image names to prevent redirect attacks
[registries.block]
registries = ['*']

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

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