Sigma rule: Apache Threading Error

A detection rule from the SigmaHQ repository, shown as its author published it. Dataset version ref-f9be84e4ecf5, updated 2021-11-27T00:00:00.000Z.

Rule

Title
Apache Threading Error
Status
test
Level
medium
Author
Florian Roth (Nextron Systems)
Date
2019-01-22
Modified
2021-11-27
File
rules/web/product/apache/web_apache_threading_error.yml
Commit
ccbb0369507f796db0b0ae6854c8a2be471b9d84

Detects an issue in apache logs that reports threading related errors

Log source

service
apache
definition
Requirements: Must be able to collect the error.log file

Detection

keywords:
    - '__pthread_tpp_change_priority: Assertion `new_prio == -1 || (new_prio >= fifo_min_prio && new_prio <= fifo_max_prio)'
condition: keywords

False positives (as the rule lists them)

  • 3rd party apache modules - https://bz.apache.org/bugzilla/show_bug.cgi?id=46185

Tags

  • attack.initial-access
  • attack.lateral-movement
  • attack.t1190
  • attack.t1210

MITRE ATT&CK ids this rule names

References

Read on 2026-11-03T00:58:21.399Z under licence sigma-drl-1.1@d5f4c36a from https://github.com/SigmaHQ/sigma/blob/ccbb0369507f796db0b0ae6854c8a2be471b9d84/rules/web/product/apache/web_apache_threading_error.yml

Sources and licences

  • SigmaHQ

    "Apache Threading Error" by Florian Roth (Nextron Systems) (SigmaHQ). Rule: https://github.com/SigmaHQ/sigma/blob/ccbb0369507f796db0b0ae6854c8a2be471b9d84/rules/web/product/apache/web_apache_threading_error.yml.
    Licensed under the Detection Rule License (DRL) 1.1: https://github.com/SigmaHQ/Detection-Rule-License

    Detection Rule License (DRL) 1.1

Cite this page

Dragons Eye Ransomware Tracker, "Sigma rule: Apache Threading Error",
entity page, dataset version ref-f9be84e4ecf5, updated 2021-11-27T00:00:00.000Z,
https://ransomware-tracker.com/detections/sigma/e9a2b582-3f6a-48ac-b4a1-6849cdc50b3c (accessed 2026-11-03).
Underlying source: SigmaHQ rule e9a2b582-3f6a-48ac-b4a1-6849cdc50b3c, commit ccbb0369507f796db0b0ae6854c8a2be471b9d84.

Pages change. The dataset version identifies the data, but no archive of old versions is kept, so this citation cannot be replayed later.