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MEDIUM severity

GHSA-65jj-fmw8-468q zebrad

MEDIUM

GHSA-65jj-fmw8-468q is a medium-severity (CVSS 5.3) CWE-401 vulnerability in zebrad. A fix is available for zebrad — see the affected versions and patch details below.

zebrad has unbounded memory leak in mempool download pipeline via timeout path cancel_handles retention

Also known asCVE-2026-52734
Published
Jul 2, 2026
Updated
Jul 2, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 19, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-65jj-fmw8-468q.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs31th percentile — riskier than 31% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

GHSA-65jj-fmw8-468q plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 377,238 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected
🦀zebrad

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects crates.io packages — download data is not available via public APIs for these ecosystems.

Description

Am I affected

You are affected if:

  1. You run zebrad up to and including v4.4.1.
  2. Your node accepts inbound P2P connections (network.listen_addr is set, which is the default).
  3. Your node's mempool is active (node is synced near the chain tip).

All default configurations are affected.

Summary

The mempool download pipeline's cancel_handles map retains entries for transactions whose verification times out at the outer RATE_LIMIT_DELAY (73-second) boundary. The tokio::time::error::Elapsed error carries no payload, so the transaction ID is unrecoverable and the corresponding cancel_handles entry (including the full Gossip::Tx(UnminedTx), up to ~2 MB) is never removed. Entries accumulate monotonically with no upper bound or garbage collection, leading to eventual out-of-memory process termination.

Details

Downloads::poll_next() at zebrad/src/components/mempool/downloads.rs:215-228 handles three terminal states for a verification task:

  • Ok(Ok(...)): success. Calls cancel_handles.remove(&tx.transaction.id). Correct.
  • Ok(Err(...)): verification error. Calls cancel_handles.remove(&hash). Correct.
  • Err(elapsed): outer timeout. Returns Err(elapsed) without removing anything. Bug.

tokio::time::error::Elapsed has no payload, so the timed-out transaction's UnminedTxId is unrecoverable from the error. The consumer at zebrad/src/components/mempool.rs:663-672 explicitly acknowledges this gap with a TODO comment.

The only cleanup paths for cancel_handles are cancel(mined_ids) (removes entries matching mined transaction IDs; attacker transactions are never mined) and cancel_all() (clears everything on shutdown or chain reset). No periodic GC, no time-based eviction, and no count cap exists.

For direct tx pushes (Gossip::Tx), the retained entry holds the full deserialized transaction, which can be up to ~9 MB in memory for a transaction near the transparent-output extreme. Per-connection leak rate at worst case: ~685 KB/s (~2.4 GB/hour).

Patches

The fix preserves the UnminedTxId through the timeout error path: wrap the timeout future so the spawned task's outer error carries the txid (e.g., Err((txid, elapsed))). In Downloads::poll_next(), on the timeout arm, call cancel_handles.remove(&txid).

Workarounds

There is no configuration-level workaround. Restarting the node clears the accumulated entries. Operators running in memory-constrained environments (containers with cgroup limits) may see the process killed by the OOM killer before natural recovery.

Impact

Gradual, unbounded memory exhaustion of a Zebra node from unauthenticated P2P traffic. The leak is monotonic (entries are never freed under normal operation) but slow (~685 KB/s per connection worst case). An attacker must sustain traffic for hours to exhaust typical server memory. The node continues operating normally until memory pressure becomes critical, at which point the OS OOM killer terminates the process or the node degrades due to swap pressure. No consensus impact, no fund loss, no on-disk corruption.

Credit

Reported by @AnticsDecoded via a private GitHub Security Advisory submission. Working E2E reproduction on a live regtest node with staged parent/child transaction dependencies.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🦀crates.iozebradall versions4.5.0cargo update -p zebrad --precise 4.5.0

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for zebrad, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update zebrad to 4.5.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-65jj-fmw8-468q is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-65jj-fmw8-468q can be triaged on real exposure rather than presence alone.

Tailored to GHSA-65jj-fmw8-468q. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Am I affected You are affected if: 1. You run `zebrad` up to and including `v4.4.1`. 2. Your node accepts inbound P2P connections (`network.listen_addr` is set, which is the default). 3. Your node's mempool is active (node is synced near the chain tip). All default configurations are affected. ### Summary The mempool download pipeline's `cancel_handles` map retains entries for transactions whose verification times out at the outer `RATE_LIMIT_DELAY` (73-second) boundary. The `tokio::time::error::Elapsed` error carries no payload, so the transaction ID is unrecoverable and the correspo
O3 Security · Impact-Aware SCA

Is GHSA-65jj-fmw8-468q in your dependencies?

O3 Security finds GHSA-65jj-fmw8-468q across crates.io dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

GHSA-65jj-fmw8-468q: zebrad (Medium 5.3) | O3 Security