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Vulnerability Database/CVE-2025-59350

CVE-2025-59350: Dragonfly Auth Bypass Vulnerability

CVE-2025-59350 is an authentication bypass flaw in Linuxfoundation Dragonfly that enables timing attacks to guess passwords. This article covers the technical details, affected versions, and mitigation.

Published:

CVE-2025-59350 Overview

CVE-2025-59350 affects Dragonfly, an open source peer-to-peer (P2P) file distribution and image acceleration system maintained under the Linux Foundation. The vulnerability resides in the access control mechanism for the Proxy feature, which uses simple string comparisons to validate credentials. Because these comparisons short-circuit on the first mismatched character, response times vary based on how many characters match. An attacker measuring these timing differences can infer the password one character at a time. The issue is tracked under CWE-208: Observable Timing Discrepancy and was fixed in Dragonfly version 2.1.0.

Critical Impact

A network-based attacker without prior authentication can incrementally recover the Proxy password by exploiting timing side-channel information in the credential comparison routine.

Affected Products

  • Linux Foundation Dragonfly (Go implementation) versions prior to 2.1.0
  • Deployments using the Dragonfly Proxy feature with password-based access control
  • Container image acceleration environments relying on Dragonfly P2P distribution

Discovery Timeline

  • 2025-09-17 - CVE-2025-59350 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2025-59350

Vulnerability Analysis

Dragonfly exposes a Proxy component that mediates access to P2P-distributed artifacts and container images. Access to the Proxy is guarded by a password check implemented as a direct string comparison. Standard string equality operations in Go, such as the == operator on byte slices or strings, return as soon as they encounter a differing byte. This introduces a measurable time delta between comparisons that match zero characters and comparisons that match several leading characters. An attacker can repeatedly submit candidate credentials and record round-trip latency to determine which prefix produces the longest processing time. Iterating this process character by character reduces the search space from exponential to linear in password length. The vulnerability does not require prior authentication and is exploitable over the network wherever the Proxy endpoint is reachable.

Root Cause

The root cause is the use of a non-constant-time string comparison for authentication material. Secure credential validation requires a comparison routine such as Go's crypto/subtle.ConstantTimeCompare, which processes every byte regardless of mismatches. The affected code path did not use such a routine, exposing timing data correlated with the secret.

Attack Vector

Exploitation is remote and unauthenticated. The attacker sends a sequence of authentication requests to the Proxy endpoint, each varying the guessed character at the current position. By statistically averaging response times across many requests, the attacker isolates the character that produced the largest positive latency delta. The attacker then fixes that character and repeats for the next position until the full password is recovered.

No verified proof-of-concept code has been published. Refer to the GitHub Security Advisory GHSA-c2fc-9q9c-5486 for authoritative technical details.

Detection Methods for CVE-2025-59350

Indicators of Compromise

  • High volumes of authentication attempts against the Dragonfly Proxy endpoint originating from a single source or small set of sources
  • Repeated failed authentication events with incrementally changing credential values
  • Unusual, sustained request patterns targeting Proxy authentication paths outside normal operational windows

Detection Strategies

  • Enable verbose authentication logging on the Dragonfly Proxy and alert on brute-force patterns against the credential endpoint
  • Correlate access logs to identify sources that generate large numbers of near-identical requests with only minor payload variations
  • Baseline normal Proxy authentication traffic and flag deviations in request rate, source diversity, or credential entropy

Monitoring Recommendations

  • Forward Dragonfly Proxy access and audit logs to a centralized logging or SIEM platform for retention and analysis
  • Track authentication failure ratios per source IP and alert when thresholds exceed a defined baseline
  • Monitor network latency and CPU consumption on Proxy hosts for signs of automated probing activity

How to Mitigate CVE-2025-59350

Immediate Actions Required

  • Upgrade Dragonfly to version 2.1.0 or later, which replaces the vulnerable comparison with a constant-time routine
  • Rotate any Proxy passwords that were configured on affected versions, since they may have been exposed to timing analysis
  • Restrict network access to the Dragonfly Proxy endpoint to trusted management networks only

Patch Information

The vulnerability is fixed in Dragonfly 2.1.0. Details are published in the GitHub Security Advisory GHSA-c2fc-9q9c-5486. Operators should review the release notes and validate that all Dragonfly Manager, Scheduler, and Peer components are updated consistently. Additional context on the project's security posture is available in the Dragonfly Comprehensive Security Report 2023.

Workarounds

  • Place the Dragonfly Proxy behind a reverse proxy or service mesh that enforces authentication using constant-time verification
  • Apply strict network segmentation and firewall rules to limit exposure of the Proxy endpoint to untrusted networks
  • Enforce rate limiting on the Proxy authentication endpoint to increase the cost and detectability of timing measurements
bash
# Example: restrict Dragonfly Proxy exposure with iptables until patched
iptables -A INPUT -p tcp --dport 65001 -s 10.0.0.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 65001 -j DROP

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

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