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PatchSiren cyber security CVE debrief

CVE-2026-46702 Eugeny CVE debrief

A remote denial-of-service vulnerability exists in the Russh SSH library, affecting versions 0.34.0 to before 0.61.1. The vulnerability allows a remote peer to send oversized post-decompression packets, causing a resource-exhaustion issue in the post-decompression receive path. This issue has been patched in version 0.61.1.

Vendor
Eugeny
Product
russh
CVSS
HIGH 7.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-10
Original CVE updated
2026-06-11
Advisory published
2026-06-10
Advisory updated
2026-06-11

Who should care

Users of the Russh SSH library, particularly those using versions 0.34.0 to 0.61.1, should be aware of this vulnerability and take steps to mitigate it.

Technical summary

The Russh SSH library, a Rust-based SSH client and server library, is vulnerable to a remote denial-of-service attack. The vulnerability, CVE-2026-46702, exists in versions 0.34.0 to before 0.61.1 and allows a remote peer to send oversized post-decompression packets, causing a resource-exhaustion issue in the post-decompression receive path. This issue has been patched in version 0.61.1.

Defensive priority

High

Recommended defensive actions

  • Update to version 0.61.1 or later
  • Disable SSH compression if not required

Evidence notes

The vulnerability was patched in version 0.61.1. For more information, see [ref-4](https://github.com/Eugeny/russh/security/advisories/GHSA-wwx6-x28x-8259).

Sources and references

Verified primary and authoritative sources

  • CVE-2026-46702 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-46702

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-46702 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-46702

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.