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DeepSeek

DeepSeek Vendor Cyber Rating & Cyber Score

deepseek.com

DeepSeek is an artificial intelligence research company dedicated to unraveling the fundamental nature of intelligence and advancing the future of Artificial General Intelligence (AGI). We focus on building high-performance, efficient, and accessible AI models that empower developers, researchers, and enterprises worldwide. Driven by a strong commitment to the open-source community, we have developed and released a series of frontier foundational models, including DeepSeek-V3, DeepSeek-R1, DeepSeek Coder, and DeepSeek Math. By pushing the boundaries of what open-source AI can achieve, we aim to democratize access to cutting-edge technology and foster a collaborative ecosystem where innovation thrives. From complex reasoning and coding to


DeepSeek A.I CyberSecurity Scoring

DeepSeek
Company Information
Website:https://www.deepseek.com/en/
Employees number:585
Number of followers:18,507
NAICS:513
Industry Type:Technology, Information and Internet
Homepage:deepseek.com
DeepSeek Risk Score (AI oriented)
Between 650 and 699
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DeepSeekTechnology, Information and Internet
Updated:
02/07/2026
663/1000
Weak
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Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
DeepSeek Global Score (TPRM)
xxxx
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DeepSeekTechnology, Information and Internet
•••
Score locked
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Findings

DeepSeek
DeepSeekWeak
Current Score
663B (WEAK)
01000
1 incidents
-107 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JULY 2026
770Before Incident
Ransomware
02 Jul 2026DeepSeek
DeepSeek and Google: Browser-Only Ransomware Uses File System Access API to Encrypt Files Without Malware Installation

Browser-Based Ransomware Exploits File System Access API in Novel Attack

663After Incident
CRITICAL-107
DEEGOO1782973818
Browser-Based Ransomware Exploits File System Access API in Novel Attack Researchers have uncovered a new ransomware technique that operates entirely within a browser, leveraging the File System Access API to encrypt or exfiltrate files without requiring native malware, exploits, or elevated privileges. The proof-of-concept (PoC), attributed to AI-assisted development by DeepSeek, demonstrates how malicious actors can turn theoretical browser-based threats into practical attacks. The attack begins with a social engineering lure a fake AI image-enhancement or upscaler web app designed to trick users into granting folder-level access. Once a victim selects a directory (such as a photo folder), the malicious page enumerates, reads, and encrypts files using browser file handles, then displays a ransom note. The technique bypasses traditional defenses, as it relies on legitimate browser APIs and user-granted permissions rather than dropped binaries or exploits. A key concern is the attack’s effectiveness on Android, where Chromium-based browsers (including Chrome) allow access to sensitive directories like DCIM and Pictures, which often contain irreplaceable personal data. While Safari and Firefox do not widely expose the same API primitives, the risk is concentrated where Chrome dominates. The DeepSeek PoC, dubbed InfernoGrabber, used a Discord-themed frontend with `showOpenFilePicker()` and `showDirectoryPicker()` to obtain file handles, demonstrating an end-to-end attack chain. Though the API restricts arbitrary disk access, targeting user-facing folders like Pictures and Downloads is sufficient for high-impact outcomes when paired with convincing social engineering. This attack highlights a growing challenge: AI can rapidly translate abstract malicious concepts into operational threats by mapping them onto legitimate platform features. While DeepSeek’s model refuses direct ransomware prompts, it generated the necessary HTML/JavaScript code to abuse the File System Access API, accelerating the development of one-off malware. The incident underscores the need for improved permission controls, as current mitigations rely heavily on user vigilance such as avoiding write access to sensitive directories and robust backups. Browser vendors are urged to tighten restrictions, particularly on mobile, where media libraries are prime targets. Defenders must now account for AI-assisted, disposable malware artifacts that complicate detection and attribution.
INCIDENT DETAILS -
TYPE
Ransomware
MOTIVATION
Financial gain (ransomware)
IMPACT
Data Compromised: Files encrypted or exfiltratedSystems Affected: User devices (primarily Android via Chromium-based browsers)Operational Impact: Loss of access to personal files (e.g., photos, documents)
DATA BREACH
Type Of Data Compromised: Personal files (e.g., photos, documents)Sensitivity Of Data: High (irreplaceable personal data)Data Exfiltration: Possible (PoC demonstrates encryption and exfiltration)Data Encryption: Yes (files encrypted via browser-based ransomware)ImagesDocuments
JUNE 2026
770Before Incident
MAY 2026
770Before Incident
APRIL 2026
770Before Incident
MARCH 2026
770Before Incident
FEBRUARY 2026
770Before Incident
JANUARY 2026
770Before Incident
DECEMBER 2025
770Before Incident
NOVEMBER 2025
770Before Incident
OCTOBER 2025
770Before Incident
SEPTEMBER 2025
770Before Incident
AUGUST 2025
770Before Incident

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DeepSeek Cyber Scoring History | Rankiteo