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Vulnerability Database/CVE-2025-59351

CVE-2025-59351: Dragonfly Use-After-Free Vulnerability

CVE-2025-59351 is a use-after-free vulnerability in Linuxfoundation Dragonfly that causes nil pointer dereference and code panics. This article covers the technical details, affected versions, security impact, and mitigation.

Published:

CVE-2025-59351 Overview

CVE-2025-59351 affects Dragonfly, an open source peer-to-peer (P2P) file distribution and image acceleration system maintained under the Linux Foundation. Versions prior to 2.1.0 dereference the first return value of a function even when that function returns an error. This produces a nil pointer dereference that causes the Dragonfly process to panic. The flaw is classified under CWE-476 (NULL Pointer Dereference) and was fixed in Dragonfly 2.1.0.

Critical Impact

A network-adjacent condition can trigger a nil dereference in Dragonfly, causing the affected component to panic and interrupt P2P file distribution and container image acceleration workloads.

Affected Products

  • Dragonfly (linuxfoundation:dragonfly) versions prior to 2.1.0
  • Go-based Dragonfly distributions matching CPE cpe:2.3:a:linuxfoundation:dragonfly:*:*:*:*:*:go:*:*
  • Container image acceleration deployments relying on vulnerable Dragonfly releases

Discovery Timeline

  • 2025-09-17 - CVE-2025-59351 published to the National Vulnerability Database
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2025-59351

Vulnerability Analysis

Dragonfly is written in Go, where functions commonly return a value and an error together. Idiomatic Go requires callers to check the returned error before using the accompanying value. In the vulnerable code path, the caller dereferences the first return value without validating the error result. When the function fails and returns a nil pointer alongside a non-nil error, the subsequent dereference triggers a runtime panic.

The defect maps to CWE-476: NULL Pointer Dereference. Because Dragonfly exposes P2P and image distribution services on the network, an unauthenticated actor able to reach the affected endpoint can drive the code path that returns an error, forcing the panic. The result is availability loss for the Dragonfly component that hosts the flawed logic.

Root Cause

The root cause is missing error handling. The caller assumes the returned pointer is valid regardless of the error return, then dereferences it. Fix commits in version 2.1.0 guard the return path so the pointer is only accessed after the error is checked and confirmed nil.

Attack Vector

The attack vector is network-based and requires no privileges or user interaction. An attacker sends a request that causes the underlying function to return an error. The unchecked dereference then panics the Dragonfly goroutine or process, producing a denial of service against P2P distribution or image acceleration. Confidentiality and integrity are not affected; only availability is impacted, which is consistent with the vulnerability being scored as low severity.

See the GitHub Security Advisory GHSA-4mhv-8rh3-4ghw for the vendor's technical description.

Detection Methods for CVE-2025-59351

Indicators of Compromise

  • Unexpected runtime error: invalid memory address or nil pointer dereference panic traces in Dragonfly logs
  • Repeated Dragonfly manager, scheduler, or dfdaemon process restarts without correlated configuration changes
  • Malformed or anomalous inbound requests to Dragonfly service ports immediately preceding a crash

Detection Strategies

  • Monitor Dragonfly container and pod restart counts in Kubernetes for spikes tied to the affected workloads
  • Correlate Go runtime panic stack traces against the fixed functions referenced in the GHSA-4mhv-8rh3-4ghw advisory
  • Track Dragonfly version inventory across clusters and flag any node still running a release older than 2.1.0

Monitoring Recommendations

  • Ingest Dragonfly manager, scheduler, and dfdaemon logs into a centralized logging pipeline and alert on panic keywords
  • Enable liveness and readiness probes on Dragonfly pods so orchestrators can surface crash loops quickly
  • Capture network telemetry for Dragonfly service ports to identify request patterns that precede crashes

How to Mitigate CVE-2025-59351

Immediate Actions Required

  • Upgrade all Dragonfly components to version 2.1.0 or later on every cluster node and control-plane host
  • Audit deployments for exposed Dragonfly endpoints and restrict them to trusted networks until patching is complete
  • Review recent panic events in Dragonfly logs to determine whether the flaw has already been triggered

Patch Information

The issue is fixed in Dragonfly 2.1.0. The maintainers published the fix and technical details in GitHub Security Advisory GHSA-4mhv-8rh3-4ghw. Additional project context is available in the Dragonfly 2023 Security Report.

Workarounds

  • Place Dragonfly services behind network policies or service meshes that limit access to authenticated peers only
  • Deploy Dragonfly with orchestrator-level restart policies so a panic does not result in extended outage
  • Rate-limit or filter inbound requests to Dragonfly endpoints to reduce exposure until the upgrade is applied
bash
# Upgrade Dragonfly Helm chart to a fixed release (>= 2.1.0)
helm repo update
helm upgrade dragonfly dragonfly/dragonfly \
  --namespace dragonfly-system \
  --version 2.1.0

# Verify the running version on each node
kubectl -n dragonfly-system get pods -o jsonpath=\
  '{range .items[*]}{.metadata.name}{"\t"}{.spec.containers[*].image}{"\n"}{end}'

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

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