Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2025-37179

CVE-2025-37179: System Component DoS Vulnerability

CVE-2025-37179 is a denial-of-service flaw in a system component that causes out-of-bounds read errors due to insufficient buffer validation. This post covers the technical details, affected versions, and mitigation.

Updated:

CVE-2025-37179 Overview

CVE-2025-37179 is an out-of-bounds read vulnerability affecting a system component responsible for handling data buffers. Due to insufficient validation of maximum buffer size values, the affected process may attempt to read beyond the intended memory region. This memory safety issue falls under CWE-125 (Out-of-bounds Read) and can be exploited remotely without authentication.

Under specific conditions, successful exploitation of this vulnerability can result in a crash of the affected process, leading to a potential denial-of-service condition. The vulnerability is network-accessible, meaning attackers can potentially trigger the flaw remotely without requiring user interaction.

Critical Impact

Remote attackers can trigger out-of-bounds memory reads, potentially causing process crashes and denial-of-service conditions without authentication.

Affected Products

Discovery Timeline

  • 2026-01-13 - CVE-2025-37179 published to NVD
  • 2026-01-13 - Last updated in NVD database

Technical Details for CVE-2025-37179

Vulnerability Analysis

This vulnerability stems from improper bounds checking when processing data buffers within a system component. The flaw allows memory reads beyond allocated buffer boundaries, which can expose sensitive memory contents or cause application instability.

The attack can be initiated remotely over the network without requiring any privileges or user interaction. While the vulnerability does not directly compromise data confidentiality or integrity, it poses a significant availability risk through potential denial-of-service conditions.

Root Cause

The root cause is classified as CWE-125 (Out-of-bounds Read), indicating that the vulnerable code fails to properly validate buffer size parameters before performing read operations. Specifically, the maximum buffer size values are not adequately checked against actual buffer boundaries, allowing read operations to access memory locations outside the intended buffer region.

This type of vulnerability typically occurs when:

  • Buffer size calculations do not account for edge cases
  • Input-supplied length values are trusted without validation
  • Boundary checks are missing or incorrectly implemented

Attack Vector

The vulnerability is exploitable via network access with low attack complexity. An attacker can craft malicious input that specifies buffer size values exceeding the actual allocated memory, causing the application to read beyond buffer boundaries.

The exploitation does not require authentication or special privileges, making it accessible to unauthenticated remote attackers. When triggered, the out-of-bounds read can cause the affected process to crash, resulting in service disruption.

The vulnerability mechanism involves insufficient validation of buffer size parameters before memory read operations. When processing incoming data, the affected component trusts user-supplied or calculated buffer size values without properly verifying they fall within safe memory boundaries. For detailed technical information, refer to the HPE Security Advisory.

Detection Methods for CVE-2025-37179

Indicators of Compromise

  • Unexpected process crashes or service restarts in affected components
  • Memory access violation errors in system logs
  • Unusual network traffic patterns targeting affected services
  • Core dump files indicating out-of-bounds memory access

Detection Strategies

  • Monitor system logs for segmentation faults or memory access violations
  • Deploy network intrusion detection rules to identify malformed buffer size values in relevant protocols
  • Implement application-level monitoring to detect abnormal process terminations
  • Use memory safety tools to identify out-of-bounds read attempts

Monitoring Recommendations

  • Enable verbose logging on affected systems to capture detailed error information
  • Configure alerting for unexpected service restarts or crashes
  • Review network traffic for anomalous requests to affected services
  • Establish baseline metrics for service availability to detect denial-of-service conditions

How to Mitigate CVE-2025-37179

Immediate Actions Required

  • Review the HPE Security Advisory for specific patch information
  • Identify all systems running affected software versions
  • Apply vendor-provided patches as soon as they become available
  • Consider implementing network segmentation to limit exposure of affected services

Patch Information

HPE has released a security advisory addressing this vulnerability. System administrators should consult the HPE Security Advisory for specific patch details, affected product versions, and remediation guidance. Apply the recommended updates following your organization's change management procedures.

Workarounds

  • Implement network access controls to restrict access to affected services from untrusted networks
  • Deploy web application firewalls or intrusion prevention systems with rules to filter malformed requests
  • Consider disabling or isolating non-essential services until patches can be applied
  • Monitor affected systems closely for signs of exploitation attempts
bash
# Network access restriction example (firewall rule)
# Restrict access to affected service ports from untrusted networks
# Adjust port numbers and IP ranges based on your environment
iptables -A INPUT -p tcp --dport <affected_port> -s <trusted_network> -j ACCEPT
iptables -A INPUT -p tcp --dport <affected_port> -j DROP

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

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.