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Vulnerability Database/CVE-2025-23182

CVE-2025-23182: Observable Discrepancy Information Leak

CVE-2025-23182 is an information disclosure vulnerability resulting from observable discrepancies in system responses. Attackers can exploit timing or behavioral differences to extract sensitive data. This article covers technical details, potential impact, and recommended mitigation strategies.

Published:

CVE-2025-23182 Overview

CVE-2025-23182 is an observable discrepancy vulnerability classified under [CWE-203]. The flaw enables authenticated remote attackers to infer sensitive information by observing behavioral differences in application responses. An adversary with low-level privileges can exploit measurable variations, such as response timing or error content, to disclose data that should remain protected.

The issue was published to the National Vulnerability Database (NVD) on May 22, 2025. It requires network access and low privileges, with no user interaction required for exploitation.

Critical Impact

Authenticated attackers on the network can extract confidential information by analyzing discrepancies in application behavior, undermining data confidentiality.

Affected Products

  • Product details have not been publicly disclosed in the NVD entry
  • Refer to the Israeli Government CVE advisory for vendor-specific scope
  • Organizations should consult the linked advisory for affected versions

Discovery Timeline

  • 2025-05-22 - CVE-2025-23182 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2025-23182

Vulnerability Analysis

The vulnerability falls under [CWE-203], Observable Discrepancy. This weakness class covers cases where a product behaves differently in ways an attacker can measure, revealing information about internal state or protected data. Common manifestations include response time differences, distinct error messages for valid versus invalid inputs, and variations in resource consumption.

An authenticated attacker with network access can send crafted requests and compare responses to infer sensitive values. Typical outcomes include enumeration of valid usernames, discovery of internal record identifiers, and inference of secret material through side-channel analysis.

The EPSS (Exploit Prediction Scoring System) probability sits at 0.269%, indicating limited near-term exploitation likelihood. However, observable discrepancy flaws often serve as reconnaissance building blocks for broader intrusion chains.

Root Cause

The root cause is a design or implementation choice that permits externally observable variations tied to protected internal state. Examples include short-circuit comparison of secrets, differentiated error responses for existing versus non-existing resources, and non-constant-time cryptographic operations.

Attack Vector

Exploitation occurs over the network by an attacker holding valid low-privilege credentials. The attacker issues repeated requests, measures response characteristics, and statistically correlates observations to protected values. No user interaction is required, and the attack targets confidentiality only.

No verified proof-of-concept code has been published. Refer to the Israeli Government CVE Advisories for additional technical context.

Detection Methods for CVE-2025-23182

Indicators of Compromise

  • Repeated authenticated requests from a single source targeting the same endpoint with iterative parameter variations
  • Elevated volumes of requests producing similar response codes but with measurable timing differences
  • Session activity that shows systematic enumeration behavior rather than typical user workflows

Detection Strategies

  • Baseline normal request rates per authenticated user and alert on statistical deviations that suggest automated probing
  • Correlate application logs with authentication logs to identify low-privilege accounts issuing reconnaissance-style traffic
  • Deploy web application firewall rules that flag high-frequency parameter fuzzing against sensitive endpoints

Monitoring Recommendations

  • Ingest application, authentication, and network telemetry into a centralized analytics platform for cross-source correlation
  • Track response-time distributions per endpoint and investigate outliers that align with sensitive lookups
  • Monitor authenticated sessions for behavioral anomalies such as rapid iteration over identifier ranges

How to Mitigate CVE-2025-23182

Immediate Actions Required

  • Review the Israeli Government CVE Advisories listing to identify the affected product and vendor patch
  • Apply vendor-supplied updates once available and prioritize systems exposed to untrusted authenticated users
  • Audit account privileges and remove unused low-privilege accounts that could be leveraged for probing

Patch Information

The NVD entry does not currently list a vendor patch reference. Consult the linked Israeli Government advisory for remediation guidance and product-specific fixes as they become available.

Workarounds

  • Standardize response messages so success and failure paths return identical structure and status codes
  • Implement rate limiting and account lockouts on endpoints prone to iterative probing
  • Use constant-time comparison functions for secret material and normalize response timing where feasible
  • Restrict network exposure of authenticated interfaces to trusted segments
bash
# Example rate limit configuration (nginx)
limit_req_zone $binary_remote_addr zone=authapi:10m rate=10r/s;

location /api/ {
    limit_req zone=authapi burst=20 nodelay;
    proxy_pass http://backend;
}

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

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