Incident Score: Analysis & Impact (GOODEE1782937442)
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 DeepSeek AI's Ransomware 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 DeepSeek AI 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 DeepSeek AI breach identified under incident ID GOODEE1782937442.
The analysis begins with a detailed overview of DeepSeek AI's information like the linkedin page: https://www.linkedin.com/company/deepseek-ai, the number of followers: 184520, the industry type: Technology, Information and Internet and the number of employees: 154 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 503 and after the incident was 408 with a difference of -95 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 DeepSeek AI and their customers.
On 22 May 2024, a cybersecurity incident called "AI-Generated Browser Ransomware: DeepSeek LLMs Lower the Bar for Cybercriminals" came to light.
Researchers at Check Point uncovered a trend where large language models (LLMs) like DeepSeek enable low-skilled attackers to develop functional in-browser ransomware with minimal effort.
The disruption is felt across the environment, affecting Chrome and Chromium-based browsers (e.g., Android devices), and exposing Discord tokens, credit card numbers, cryptocurrency seed phrases, keystrokes, webcam/microphone feeds, local files.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing (proof-of-concept demonstrated), teams are taking away lessons such as AI-generated malware is lowering the barrier to entry for cybercriminals, enabling low-skilled attackers to create functional ransomware. Browser-native attacks pose a growing risk to end-users, particularly on mobile devices, and recommending next steps like Enhance monitoring for browser-based API abuse, Improve detection of obfuscated malicious code and Educate users on the risks of granting file permissions to web applications.
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 Drive-by Compromise (T1189) with high confidence (90%), supported by evidence indicating exploits the File System Access API...via a malicious web application and User Execution: Malicious Link (T1204.001) with moderate to high confidence (80%), supported by evidence indicating tricking users into granting file permissions (social engineering). Under the Execution tactic, the analysis identified JavaScript (T1059.007) with high confidence (90%), supported by evidence indicating browser-native ransomware...using File System Access API in Chrome and User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating disguised as a Discord avatar upscaler. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating steal Discord tokens, credit card numbers, and cryptocurrency seed phrases and Input Capture: Keylogging (T1056.001) with moderate to high confidence (80%), supported by evidence indicating log keystrokes and capture webcam/microphone feeds. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating encrypt local files via the browser and Screen Capture (T1113) with moderate to high confidence (70%), supported by evidence indicating capture webcam/microphone feeds. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating exfiltrate data via a hardcoded Discord webhook. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating encrypt local files via the browser...browser-based file encryption and Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating file encryption and data exfiltration via browser. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (80%), supported by evidence indicating use of code obfuscation makes detection difficult and Indirect Command Execution (T1202) with moderate to high confidence (70%), supported by evidence indicating browser-native ransomware...no native payload or root access. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- DeepSeek AI Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/deepseek-ai/incident/GOODEE1782937442
- DeepSeek AI CyberSecurity Rating page: https://www.rankiteo.com/company/deepseek-ai
- DeepSeek AI Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/goodee1782937442-deepseek-google-ransomware-june-2026/
- DeepSeek AI CyberSecurity Score History: https://www.rankiteo.com/company/deepseek-ai/history
- DeepSeek AI CyberSecurity Incident Source: https://www.theregister.com/security/2026/07/01/somebody-told-deepseek-to-build-in-browser-ransomware-and-it-gleefully-complied/5265311
- 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