Dana Powers kafka-python up to 2.3.1 scram.py ScramClient.process_server_first_message resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in Dana Powers kafka-python up to 2.3.1. This impacts the function ScramClient.process_server_first_message of the file scram.py. The manipulation leads to resource consumption.
This vulnerability is listed as CVE-2026-10143. The attack may be initiated remotely. There is no available exploit.
It is recommended to upgrade the affected component.
Details
A vulnerability was found in Dana Powers kafka-python up to 2.3.1. It has been rated as problematic. This issue affects the function ScramClient.process_server_first_message of the file scram.py. The manipulation with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product 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. Impacted is availability. The summary by CVE is:
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.
The weakness was presented by Katriel Moses. The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-10143 since 05/29/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
Upgrading to version 2.3.2 eliminates this vulnerability. Applying the patch 6e4831444f972d169cdd11f5c8d50333cea3f19b is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (VulnCheck): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: kafka-python 2.3.2
Patch: 6e4831444f972d169cdd11f5c8d50333cea3f19b
Timeline
05/29/2026 CVE reserved06/11/2026 Advisory disclosed
06/11/2026 VulDB entry created
06/11/2026 VulDB entry last update
Sources
Advisory: github.comResearcher: Katriel Moses
Status: Confirmed
CVE: CVE-2026-10143 (🔒)
GCVE (CVE): GCVE-0-2026-10143
GCVE (VulDB): GCVE-100-370313
Entry
Created: 06/11/2026 07:59Changes: 06/11/2026 07:59 (81)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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