Kafka-Python 2.3.2 Denial-of-Service via SCRAM Iteration Count
CVE-2026-10143 Published on June 10, 2026

kafka-python prior to 2.3.2 DoS via SCRAM Iteration Count in scram.py
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.

NVD

Vulnerability Analysis

CVE-2026-10143 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a high impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
NONE
Availability Impact:
HIGH

Weakness Types

What is a Resource Exhaustion Vulnerability?

The software does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.

CVE-2026-10143 has been classified to as a Resource Exhaustion vulnerability or weakness.

Unchecked Input for Loop Condition

The product does not properly check inputs that are used for loop conditions, potentially leading to a denial of service or other consequences because of excessive looping.


Products Associated with CVE-2026-10143

stack.watch emails you whenever new vulnerabilities are published in Red Hat Quay or Dpkp Kafka Python. Just hit a watch button to start following.

Red Hat Quay
 
Dpkp Kafka Python
 

Affected Versions

Dana Powers kafka-python: Red Hat Quay 3.10: Red Hat Quay 3.12: Red Hat Quay 3.9: Red Hat Quay 3:

Exploit Probability

EPSS
0.39%
Percentile
30.96%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.