Incident Score: Analysis & Impact (STRGITTHE1773750273)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Python Software Foundation's Cyber Attack and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts Python Software Foundation Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the Python Software Foundation breach identified under incident ID STRGITTHE1773750273.
The analysis begins with a detailed overview of Python Software Foundation's information like the linkedin page: https://www.linkedin.com/company/thepsf, the number of followers: 151095, the industry type: Software Development and the number of employees: 776 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 753 and after the incident was 733 with a difference of -20 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on Python Software Foundation and their customers.
Python repositories (Django, ML research, Streamlit, PyPI) recently reported "GlassWorm Malware Campaign Exploits Stolen GitHub Tokens to Infect Python Repositories", a noteworthy cybersecurity incident.
Security researchers at StepSecurity have uncovered an active malware campaign, dubbed *GlassWorm*, which is leveraging stolen GitHub tokens to inject malicious code into a wide range of Python repositories.
The disruption is felt across the environment, affecting Python repositories (Django applications, machine learning research code, Streamlit dashboards, PyPI packages), and exposing Malicious code injection enabling remote access and data exfiltration.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing, teams are taking away lessons such as Need for heightened vigilance in token management and code review processes to mitigate supply chain attacks, and recommending next steps like Improve GitHub token security, enhance code review processes, and monitor for obfuscated malicious code.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with high confidence (90%), supported by evidence indicating leveraging stolen GitHub tokens to inject malicious code into Python repositories and Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating glassWorm campaign exploits stolen GitHub tokens. Under the Persistence tactic, the analysis identified Compromise Client Software Binary (T1554) with moderate to high confidence (80%), supported by evidence indicating inject malicious code into core project files (setup.py, main.py, app.py). Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (90%), supported by evidence indicating employs obfuscation techniques to evade detection. Under the Command and Control tactic, the analysis identified Remote Access Software (T1219) with moderate to high confidence (80%), supported by evidence indicating injected payload can enable remote access. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating facilitate data exfiltration via injected payload. Under the Lateral Movement tactic, the analysis identified Lateral Tool Transfer (T1570) with moderate to high confidence (70%), supported by evidence indicating further propagate the infection within connected networks and systems. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Python Software Foundation Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/thepsf/incident/STRGITTHE1773750273
- Python Software Foundation CyberSecurity Rating page: https://www.rankiteo.com/company/thepsf
- Python Software Foundation Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/strgitthe1773750273-github-streamlit-python-package-index-cyber-attack-march-2026/
- Python Software Foundation CyberSecurity Score History: https://www.rankiteo.com/company/thepsf/history
- Python Software Foundation CyberSecurity Incident Source: https://dailysecurityreview.com/cyber-security/ongoing-python-package-attack-uses-stolen-github-tokens/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf