fastfire/deepdarkCTI
Nov 2025 – Mar 2026
3 Months active
Languages Used
Markdown
Technical Skills
data analysisdocumentationcontent editingcybersecuritythreat intelligence
pyrolambda
PROFILE
Pyrolambda
Pyrolambda contributed to the fastfire/deepdarkCTI repository by enhancing threat intelligence documentation over a three-month period. Focusing on content editing and data analysis, Pyrolambda updated the telegram_threat_actors.md file to include new threat actors such as MR_X10_SY, Scattered Spider, and LAPSUS$, clarifying attribution and reflecting changes in threat actor communications. All updates were implemented in Markdown, with careful attention to documentation consistency and commit traceability. The work improved the accuracy and completeness of threat actor data, enabling analysts to detect and respond to threats more efficiently. No bugs were reported or fixed, reflecting a focus on clean feature delivery.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
9
Activity Months3
Your Network
14 peopleShared Repositories
14
Work History
March 2026
3 Commits • 1 Features
Mar 1, 2026Concise monthly summary for 2026-03 focused on feature delivery in fastfire/deepdarkCTI. Delivered documentation updates for LAPSUS$ threat actor channels, including new operation channel entry, attribution clarification, and status changes to reflect online/offline channels. Implemented via three commits with clear messages, enabling analysts to quickly understand current threat communications and improving triage accuracy.
3 Commits • 1 Features
Mar 1, 2026Concise monthly summary for 2026-03 focused on feature delivery in fastfire/deepdarkCTI. Delivered documentation updates for LAPSUS$ threat actor channels, including new operation channel entry, attribution clarification, and status changes to reflect online/offline channels. Implemented via three commits with clear messages, enabling analysts to quickly understand current threat communications and improving triage accuracy.
March 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for fastfire/deepdarkCTI focusing on delivering value through threat intelligence updates and documentation improvements. Key deliverable: Scattered Spider threat actor information added to telegram_threat_actors.md, enabling faster detection and response. This work enhances knowledge sharing, onboarding, and incident response readiness.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for fastfire/deepdarkCTI focusing on delivering value through threat intelligence updates and documentation improvements. Key deliverable: Scattered Spider threat actor information added to telegram_threat_actors.md, enabling faster detection and response. This work enhances knowledge sharing, onboarding, and incident response readiness.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for fastfire/deepdarkCTI: Implemented a targeted threat actor catalog update by adding MR_X10_SY (Telegram) to the threat actors markdown list. This enhances attribution accuracy and data completeness for Telegram-related activity. No major bugs fixed this month; all changes were feature additions with clean commits. Business value: improved threat intelligence coverage, faster detection and response; technical achievements: markdown data maintenance, Git commit hygiene, and threat intel data curation.
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for fastfire/deepdarkCTI: Implemented a targeted threat actor catalog update by adding MR_X10_SY (Telegram) to the threat actors markdown list. This enhances attribution accuracy and data completeness for Telegram-related activity. No major bugs fixed this month; all changes were feature additions with clean commits. Business value: improved threat intelligence coverage, faster detection and response; technical achievements: markdown data maintenance, Git commit hygiene, and threat intel data curation.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
content editingcybersecuritydata analysisdocumentationthreat intelligence
Repositories Contributed To
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