CVE-2022-29216 Explained : Impact and Mitigation

TensorFlow is an open source platform for machine learning. A vulnerability exists in TensorFlow's

saved_model_cli

tool prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, allowing code injection that can lead to a reverse shell exploit. The impact of this vulnerability is mitigated due to manual execution of the tool. The maintainers have addressed this issue by removing the

safe=False

argument, ensuring safer parsing without calling

eval

.

Understanding CVE-2022-20657

This section provides an overview of the security vulnerability in TensorFlow's

saved_model_cli

tool.

What is CVE-2022-20657?

CVE-2022-20657 is a code injection vulnerability found in TensorFlow's

saved_model_cli

tool, impacting versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4. The vulnerability could allow an attacker to execute arbitrary code and potentially gain control over the target system by opening a reverse shell.

The Impact of CVE-2022-20657

While the vulnerability presents a high impact on confidentiality, integrity, and availability, its severity is reduced as the tool is typically manually executed. Maintainers have released patches in versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 to address this security issue.

Technical Details of CVE-2022-20657

This section dives into the specifics of the vulnerability affecting TensorFlow.

Vulnerability Description

The issue stems from improper input validation in the

saved_model_cli

tool, allowing for code injection. By exploiting this vulnerability, an attacker could execute arbitrary code, posing a serious threat to the affected systems.

Affected Systems and Versions

The vulnerability affects TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4. Users utilizing these versions are at risk of potential code injection attacks.

Exploitation Mechanism

Attackers can exploit this vulnerability by injecting malicious code via the

saved_model_cli

tool, enabling unauthorized access and control over the target systems.

Mitigation and Prevention

To safeguard systems against CVE-2022-20657, it is crucial to implement appropriate security measures and apply necessary patches.

Immediate Steps to Take

Users are advised to update TensorFlow to versions 2.9.0, 2.8.1, 2.7.2, or 2.6.4 to mitigate the vulnerability. Additionally, restrict access to the

saved_model_cli

tool to authorized personnel only.

Long-Term Security Practices

Incorporate secure coding practices, conduct regular security assessments, and stay informed about the latest security advisories to prevent similar vulnerabilities.

Patching and Updates

Regularly monitor TensorFlow's official releases and security advisories for patch updates addressing known vulnerabilities. Apply patches promptly to maintain a secure environment.