Incident Score: Analysis & Impact (ALKUNI1784665793)
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 ALKEGEN'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 ALKEGEN 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 ALKEGEN breach identified under incident ID ALKUNI1784665793.
The analysis begins with a detailed overview of ALKEGEN's information like the linkedin page: https://www.linkedin.com/company/alkegen, the number of followers: 51878, the industry type: Industrial Machinery Manufacturing and the number of employees: 2521 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 755 and after the incident was 655 with a difference of -100 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 ALKEGEN and their customers.
On 23 April 2026, Alkegen (ASP Unifrax Holdings Inc.) disclosed Data Breach, Ransomware issues under the banner "Alkegen Data Breach Exposes Sensitive Employee and Client Information".
Alkegen, a materials science company operating under ASP Unifrax Holdings Inc., recently disclosed a data breach after the Akira ransomware group claimed responsibility for the attack.
The disruption is felt across the environment, and exposing 57 gigabytes of data.
In response, and stakeholders are being briefed through Dedicated helpline (844-959-7136), notification letters, Kroll enrollment.
The case underscores how with advisories going out to stakeholders covering Complimentary identity monitoring services through Kroll, including credit monitoring, fraud consultation, and identity theft restoration. Enrollment via Kroll’s website using a unique membership number provided in notification letters.
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 moderate confidence (50%), supported by evidence indicating akira ransomware group claimed responsibility for the attack and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating employee personal documents and client information exfiltrated. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating passports, driver’s licenses, contracts, financial records exposed and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating social Security numbers and health records compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 57 gigabytes of data exfiltrated, including confidential files and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating client information, contracts, financial records stolen. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating akira posted on dark web, asserting 57GB data exfiltrated and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating data breach disclosed after dark web post by Akira. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating akira ransomware group claimed responsibility for attack and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating akira posted on dark web to assert data theft. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate confidence (60%), supported by evidence indicating ransomware attack with unspecified initial access vector and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating 57GB data exfiltrated without detection until dark web post. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- ALKEGEN Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/alkegen/incident/ALKUNI1784665793
- ALKEGEN CyberSecurity Rating page: https://www.rankiteo.com/company/alkegen
- ALKEGEN Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/alkuni1784665793-alkegen-asp-unifrax-holdings-inc-ransomware-april-2026/
- ALKEGEN CyberSecurity Score History: https://www.rankiteo.com/company/alkegen/history
- ALKEGEN CyberSecurity Incident Source: https://www.claimdepot.com/data-breach/alkegen-2026
- 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