Incident Score: Analysis & Impact (URA1774952626)
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 Uranium'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 Uranium 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 Uranium breach identified under incident ID URA1774952626.
The analysis begins with a detailed overview of Uranium's information like the linkedin page: https://www.linkedin.com/company/uranium-finance, the number of followers: 0, the industry type: Technology, Information and Internet and the number of employees: 5 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 810 and after the incident was 772 with a difference of -38 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 Uranium and their customers.
On 08 April 2021, Uranium Finance disclosed Cryptocurrency Theft issues under the banner "U.S. Prosecutors Charge Maryland Man in $53 Million Uranium Finance Crypto Heist".
A 36-year-old Maryland man, Jonathan Spalletta, has been charged with stealing over $53 million from the decentralized cryptocurrency exchange Uranium Finance in two separate attacks in April 2021.
The disruption is felt across the environment, affecting Uranium Finance liquidity pools, plus an estimated financial loss of $53.3 million.
In response, moved swiftly to contain the threat with measures like Exchange shutdown, while recovery efforts such as Seizure of stolen assets continue.
The case underscores how Ongoing.
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 Exploit Public-Facing Application (T1190) with high confidence (90%), supported by evidence indicating exploiting vulnerabilities in its smart contract code. Under the Execution tactic, the analysis identified Content Injection (T1659) with moderate to high confidence (80%), supported by evidence indicating manipulation of AmountWithBonus variable to drain $1.4 million. Under the Persistence tactic, the analysis identified Compromise Client Software Binary (T1554) with moderate to high confidence (70%), supported by evidence indicating single-character coding error allowed withdrawal of $53.3 million. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating withdraw nearly 90% of the exchange’s assets across 26 liquidity pools. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating laundered the stolen funds through the Tornado Cash cryptocurrency mixer. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Bash History (T1552.003) with moderate confidence (60%), supported by evidence indicating smart contract vulnerabilities exploited via coding errors. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (70%), supported by evidence indicating drain $1.4 million from the exchange’s liquidity pool. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1530) with high confidence (90%), supported by evidence indicating withdraw nearly 90% of the exchange’s assets ($53.3 million). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating laundered the stolen funds through Tornado Cash mixer. Under the Impact tactic, the analysis identified Service Stop (T1489) with high confidence (90%), supported by evidence indicating the theft forced Uranium Finance to shut down immediately and Financial Theft (T1657) with high confidence (100%), supported by evidence indicating stealing over $53 million from the decentralized cryptocurrency exchange. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Uranium Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/uranium-finance/incident/URA1774952626
- Uranium CyberSecurity Rating page: https://www.rankiteo.com/company/uranium-finance
- Uranium Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ura1774952626-uranium-finance-cyber-attack-april-2021/
- Uranium CyberSecurity Score History: https://www.rankiteo.com/company/uranium-finance/history
- Uranium CyberSecurity Incident Source: https://www.bleepingcomputer.com/news/security/hacker-charged-with-stealing-53-million-from-uranium-crypto-exchange/
- 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