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Animate

Animate Vendor Cyber Rating & Cyber Score

indraweb.com

animate


Animate A.I CyberSecurity Scoring

Animate
Company Information
Website:https://www.indraweb.com/tag/animate
Employees number:12
Number of followers:0
NAICS:6114
Industry Type:Professional Training and Coaching
Homepage:indraweb.com
Animate Risk Score (AI oriented)
Between 750 and 799
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AnimateProfessional Training and Coaching
Updated:
23/04/2026
784/1000
Fair
Baa
AaaAaABaaBaBCaaCaC
Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
Animate Global Score (TPRM)
xxxx
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AnimateProfessional Training and Coaching
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Score locked
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Findings

Animate
AnimateFair
Current Score
784Baa (FAIR)
01000
1 incidents
-37 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JUNE 2026
785Before Incident
MAY 2026
784Before Incident
APRIL 2026
821Before Incident
Cyber Attack
22 Apr 2026Animate
Expel, OpenAI, Cursor and Anima: AI Tools Are Helping Mediocre North Korean Hackers Steal Millions

North Korean Hackers Leverage AI to Steal $12 Million in Cryptocurrency

784After Incident
LOW-37
EXPANIANYOPE1776903982
North Korean Hackers Leverage AI to Steal $12 Million in Cryptocurrency Cybersecurity firm Expel has uncovered a North Korean state-sponsored hacking campaign that exploited AI tools to orchestrate a large-scale cryptocurrency theft operation. The group, dubbed HexagonalRodent, targeted over 2,000 developers working on cryptocurrency, NFT, and Web3 projects, using AI-generated malware and phishing infrastructure to siphon an estimated $12 million in just three months. Unlike highly sophisticated cybercrime syndicates, HexagonalRodent relied on AI platforms including OpenAI, Cursor, and Anima to compensate for its lack of technical expertise. The hackers used these tools to write malware, design fake company websites, and craft phishing lures, particularly fraudulent job offers aimed at developers. Victims were tricked into downloading malware-laced coding assignments, which stole credentials and, in some cases, crypto wallet keys. Security researcher Marcus Hutchins, who identified the group, noted that the operation’s success stemmed not from advanced hacking skills but from AI’s ability to automate tasks that would otherwise require significant technical knowledge. The hackers’ reliance on AI was evident in their malware, which included unusual features like excessive English-language comments and emoji-littered code hallmarks of large language model-generated software. Despite their effectiveness, the group left critical infrastructure exposed, revealing their AI prompts and a database tracking victim wallets. While the $12 million figure represents the total value of compromised wallets, researchers could not confirm whether all funds had been drained, as some wallets may have been protected by hardware security tokens. The campaign underscores how AI is lowering the barrier to entry for cybercriminals, enabling even low-skilled actors to execute high-impact attacks.
INCIDENT DETAILS -
TYPE
Cryptocurrency Theft
MOTIVATION
Financial gain
IMPACT
Financial Loss: $12 million (estimated)Data Compromised: Credentials, crypto wallet keysSystems Affected: Victim devices (developers' systems)Identity Theft Risk: High (credentials and wallet keys compromised)Payment Information Risk: High (crypto wallet keys compromised)
DATA BREACH
Type Of Data Compromised: Credentials, crypto wallet keysSensitivity Of Data: High (personally identifiable and financial information)Personally Identifiable Information: Yes (credentials, wallet keys)
MARCH 2026
821Before Incident
FEBRUARY 2026
821Before Incident
JANUARY 2026
821Before Incident
DECEMBER 2025
821Before Incident
NOVEMBER 2025
821Before Incident
OCTOBER 2025
821Before Incident
SEPTEMBER 2025
821Before Incident
AUGUST 2025
821Before Incident
JULY 2025
821Before Incident

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