CVE-2026-10143 (GCVE-0-2026-10143)
Vulnerability from cvelistv5 – Published: 2026-06-10 20:22 – Updated: 2026-09-10 12:04
VLAI
EPSS
VEX
Title
kafka-python prior to 2.3.2 DoS via SCRAM Iteration Count in scram.py
Summary
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.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-11 13:10 UTC
Assigner
References
12 references
| URL | Tags |
|---|---|
| https://github.com/dpkp/kafka-python/pull/3019 | issue-tracking |
| https://github.com/dpkp/kafka-python/commit/6e483… | patch |
| https://github.com/dpkp/kafka-python/pull/3026 | issue-tracking |
| https://www.vulncheck.com/advisories/kafka-python… | third-party-advisory |
| https://access.redhat.com/security/cve/CVE-2026-10143 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2487722 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:33683 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:30076 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:42796 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:41066 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:28571 | vendor-advisoryx_refsource_REDHAT |
Impacted products
6 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Dana Powers | kafka-python |
Affected:
0 , < 2.3.2
(git)
cpe:2.3:a:dpkp:kafka-python:*:*:*:*:*:python:*:* |
||
| Red Hat | Red Hat Quay 3.10 |
Unaffected:
1782487717 , < *
(rpm)
cpe:/a:redhat:quay:3.10::el8 |
||
| Red Hat | Red Hat Quay 3.12 |
Unaffected:
1781937357 , < *
(rpm)
cpe:/a:redhat:quay:3.12::el8 |
||
| Red Hat | Red Hat Quay 3.15 |
Unaffected:
1784351966 , < *
(rpm)
cpe:/a:redhat:quay:3.15::el8 |
||
| Red Hat | Red Hat Quay 3.16 |
Unaffected:
1783955846 , < *
(rpm)
cpe:/a:redhat:quay:3.16::el9 |
||
| Red Hat | Red Hat Quay 3.9 |
Unaffected:
1781878070 , < *
(rpm)
cpe:/a:redhat:quay:3.9::el8 |
Date Public
2026-06-10 20:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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