Vulnerability in kafka-python (CVE-2026-10143)
Summary
Vulnerability in kafka-python (CVE-2026-10143). Risk of unauthorized operations or information disclosure. Mitigation: upgrade to 2.3.2 or later.
Original description
The description as published by the source.
kafka-python prior to 2.3.2 contains a denial-of-service vulnerability in SCRAM authentication handling that allows a malicious or machine-in-the-middle broker to freeze the client event loop by supplying an excessively large iteration count. In scram.py, ScramClient.process_server_first_message() passes the broker-controlled SCRAM iteration count directly to hashlib.pbkdf2_hmac() without validation, blocking producer sends, consumer polls, admin operations, and heartbeats, which can cause consumer group eviction and repeated reconnect failures.
Source: NIST National Vulnerability Database NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-10143 has been found in kafka-python.
Risk of unauthorized operations or information disclosure. CVSS score: 7.5/10.
What to do: upgrade kafka-python to 2.3.2 or later.
If unsure, ask your IT team or search "kafka-python CVE-2026-10143" on the vendor's site.
CVE-2026-10143 (kafka-python) — CWE-400 / CVSS v3 7.5
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Patched: 2.3.2 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
A vulnerability (CWE-400) exists in kafka-python.
Check the vendor advisory for the affected versions of kafka-python.
Severity: High (CVSS 7.5/10). Risk of unauthorized operations or information disclosure.
Update to 2.3.2.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'kafka-python' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
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1Identify exposure identify
grep -r 'kafka-python' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
kafka-pythonを grep し、稼働しているサービス・バージョンを把握する。 -
2Apply patch patch
Upgrade kafka-python to 2.3.2ステージング環境で 2.3.2 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。
-
3Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
Affected packages
Fix status by distribution
Fixed packages published by each distribution for this CVE
- Debian DEBIAN-CVE-2026-10143 python-kafka
- Ubuntu UBUNTU-CVE-2026-10143 python-kafka
References
- patch disclosure@vulncheck.com
- patch disclosure@vulncheck.com
- patch disclosure@vulncheck.com
- patch disclosure@vulncheck.com
- web nvd.nist.gov
- web github.com
- web access.redhat.com
- web access.redhat.com
- web access.redhat.com
- web bugzilla.redhat.com
- web security.access.redhat.com
- web access.redhat.com
- web access.redhat.com
- web access.redhat.com
- web github.com
- web github.com
- web github.com