CVE-2022-39327

Code Injection in Azure CLI is the command-line interface for Microsoft Azure

Verified by Precogs Threat Research
Last Updated: Nov 21, 2024
Base Score
8.1HIGH

Executive Summary

CVE-2022-39327 is a high severity vulnerability affecting appsec. It is classified as Code Injection. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Azure CLI contains a vulnerability where it inadvertently logs sensitive information. If configured to run in CI/CD pipelines with verbose logging, it exposes Azure access tokens and secrets in plain text. Precogs PII & Secrets Scanner continuously monitors log sinks for exposed credentials."

Exploit Probability (EPSS)
Low (1.4%)
Public POC
Undisclosed
Exploit Probability
Elevated (52%)
Public POC
Available
Affected Assets
appsecCWE-94

What is this vulnerability?

CVE-2022-39327 is categorized as a high Code Injection flaw with a CVSS base score of 8.1. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

Azure CLI is the command-line interface for Microsoft Azure. In versions previous to 2.40.0, Azure CLI contains a vulnerability for potential code injection. Critical scenarios are where a hosting machine runs an Azure CLI command where parameter values have been provided by an external source. The vulnerability is only applicable when the Azure CLI command is run on a Windows machine and with any version of PowerShell and when the parameter value contains the & or | symbols. If any of these prerequisites are not met, this vulnerability is not applicable. Users should upgrade to version 2.40.0 or greater to receive a a mitigation for the vulnerability.

This architectural defect enables adversaries to bypass intended security controls, directly manipulating the application's execution state or data layer. Immediate strategic intervention is required.

Risk Assessment

MetricValue
CVSS Base Score8.1 (HIGH)
Vector StringCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
PublishedOctober 25, 2022
Last ModifiedNovember 21, 2024
Related CWEsCWE-94, CWE-78

Impact on Systems

Data Exfiltration: Attackers can extract sensitive data from backend databases, configuration files, or internal services.

Authentication Bypass: Exploiting this flaw may allow unauthorized access to protected resources and administrative interfaces.

Lateral Movement: Once initial access is gained, attackers can pivot to internal systems and escalate privileges.

How to Fix and Mitigate CVE-2022-39327

  1. Apply Vendor Patches: Upgrade affected components to their latest, non-vulnerable versions immediately.
  2. Implement Input Validation: Ensure all user-supplied data is validated, sanitized, and type-checked before processing.
  3. Deploy Runtime Protection: Use Precogs continuous monitoring to detect exploitation attempts in real time.
  4. Audit Dependencies: Review and update all third-party libraries and transitive dependencies.

Defending with Precogs AI

Azure CLI contains a vulnerability where it inadvertently logs sensitive information. If configured to run in CI/CD pipelines with verbose logging, it exposes Azure access tokens and secrets in plain text. Precogs PII & Secrets Scanner continuously monitors log sinks for exposed credentials.

Use Precogs to continuously scan your codebase, binaries, APIs, and infrastructure for this vulnerability class and related attack patterns. Our AI-powered detection engine combines static analysis with threat intelligence to identify exploitable weaknesses before attackers do.

Start scanning with Precogs →

Vulnerability Code Signature

Attack Data Flow

StageDetail
SourceUntrusted payload via API or file upload
VectorInput passed to a dynamic code evaluation function
Sinkeval(), exec(), or similar unsafe execution sink
ImpactRemote Code Execution (RCE), full system compromise

Vulnerable Code Pattern

# ❌ VULNERABLE: Dynamic code evaluation
def process_data(user_input):
    # Taint sink: arbitrary code execution
    result = eval(user_input)
    return result

Secure Code Pattern

# ✅ SECURE: Safe parsing
import ast
def process_data(user_input):
    # Sanitized parsing: only evaluates literal structures
    result = ast.literal_eval(user_input)
    return result

How Precogs Detects This

Precogs AI Analysis Engine identifies unsafe dynamic code evaluation paths by tracking untrusted data into sinks like eval() and exec().\n

Related Vulnerabilitiesvia CWE-94

Is your system affected?

Precogs AI detects CVE-2022-39327 in compiled binaries, LLMs, and application layers — even without source code access.