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CVE Vulnerability Database
Vulnerability Database/CVE-2024-23086

CVE-2024-23086: Apfloat Buffer Overflow Vulnerability

CVE-2024-23086 is a disputed buffer overflow flaw in Mikkotommila Apfloat v1.10.1 affecting the DoubleModMath component. This article covers the technical details, affected versions, potential impact, and mitigation strategies.

Published: April 8, 2026

CVE-2024-23086 Overview

CVE-2024-23086 is a disputed stack overflow vulnerability reported in Apfloat v1.10.1, an arbitrary precision arithmetic library for Java. The vulnerability was allegedly discovered in the org.apfloat.internal.DoubleModMath::modPow(double) component.

Critical Impact

This vulnerability is DISPUTED by multiple third parties who believe there was insufficient evidence to confirm its existence. The original submission may have been based on automated tooling that is not sufficiently robust for vulnerability identification. Organizations should evaluate the risk in context before taking action.

Affected Products

  • Mikkotommila Apfloat v1.10.1

Discovery Timeline

  • 2024-04-08 - CVE-2024-23086 published to NVD
  • 2025-06-18 - Last updated in NVD database

Technical Details for CVE-2024-23086

Vulnerability Analysis

The reported vulnerability allegedly involves a stack overflow condition in the DoubleModMath::modPow(double) method within the Apfloat library. Stack overflow vulnerabilities typically occur when recursive function calls or deeply nested operations consume more stack memory than allocated, leading to memory corruption or application crashes.

However, it is important to note that this CVE is disputed. Multiple third parties have challenged the validity of this vulnerability report, suggesting that the evidence provided was insufficient to confirm a genuine security flaw. The original report may have been generated by automated vulnerability scanning tools that produced false positive results.

The CWE classification (CWE-125: Out-of-Bounds Read) in the CVE record may indicate confusion about the actual nature of the reported issue, as stack overflow and out-of-bounds read are distinct vulnerability types.

Root Cause

The alleged root cause involves improper handling of recursive operations or deeply nested mathematical computations within the modPow function. In arbitrary precision arithmetic libraries, modular exponentiation operations can involve significant computational depth, which—if not properly bounded—could theoretically lead to stack exhaustion.

Given the disputed status, the actual root cause may not exist, and the reported behavior could be within normal operational parameters for the library's intended use cases.

Attack Vector

The reported attack vector is network-based, suggesting that an attacker could potentially trigger the vulnerable code path by providing maliciously crafted input to applications using the Apfloat library. However, exploitation would require:

  1. A target application that uses Apfloat v1.10.1
  2. An application endpoint that accepts external input processed by the DoubleModMath::modPow function
  3. The ability to craft input that triggers the alleged stack overflow condition

Given the disputed nature of this vulnerability, organizations should carefully evaluate whether their specific usage of Apfloat could be affected before implementing mitigations.

Detection Methods for CVE-2024-23086

Indicators of Compromise

  • Application crashes with stack overflow exceptions when processing mathematical operations
  • Unexpected termination of Java applications using Apfloat during modular exponentiation calculations
  • JVM error logs indicating StackOverflowError in org.apfloat.internal.DoubleModMath stack traces

Detection Strategies

  • Monitor application logs for StackOverflowError exceptions specifically in Apfloat-related stack traces
  • Implement software composition analysis (SCA) to identify applications using Apfloat v1.10.1
  • Review application dependencies to determine if the specific DoubleModMath::modPow function is invoked with external input

Monitoring Recommendations

  • Configure JVM crash handlers to capture and analyze stack overflow conditions
  • Implement application performance monitoring (APM) to detect unusual patterns in mathematical computation operations
  • Review application architecture to identify entry points where untrusted input could reach Apfloat functions

How to Mitigate CVE-2024-23086

Immediate Actions Required

  • Evaluate whether your applications use Apfloat v1.10.1 and specifically the DoubleModMath::modPow function
  • Assess whether external input can reach the affected component in your application architecture
  • Consider the disputed status of this CVE when prioritizing remediation efforts
  • Monitor the Apfloat Project Home and GitHub Repository for vendor statements regarding this report

Patch Information

As of the last update, no specific patch has been released addressing this vulnerability, likely due to its disputed status. Organizations should monitor the official Apfloat project channels for any updates or clarifications from the maintainer.

The GitHub Gist Code Snippet referenced in the CVE may contain additional technical details about the reported issue.

Workarounds

  • Implement input validation to limit the size and complexity of values passed to modular exponentiation functions
  • Consider adding recursion depth limits or stack size configurations for Java applications using Apfloat
  • Isolate mathematical computation workloads to sandboxed environments where stack overflow conditions can be safely contained
  • Evaluate alternative arbitrary precision arithmetic libraries if the risk assessment warrants

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechMikkotommila Apfloat

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.15%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-125
  • Technical References
  • Apfloat Project Home

  • GitHub Gist Code Snippet

  • GitHub PoC Repository
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