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Analyze » AkzoNobel » AKZ1772649747

Incident Score: Analysis & Impact (AKZ1772649747)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-172
Company Score Before Incident688 / 1000
Company Score After Incident516 / 1000
INCIDENT NUMBERAKZ1772649747
Type of Cyber IncidentRansomware
ATTACK VECTORExploitation of unpatched vulnerability (React2Shell)
DATA EXPOSED170GB (170,000 files)
INCIDENT DATE23/02/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of AkzoNobel'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 AkzoNobel 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 AkzoNobel breach identified under incident ID AKZ1772649747.

The analysis begins with a detailed overview of AkzoNobel's information like the linkedin page: https://www.linkedin.com/company/akzonobel, the number of followers: 911509, the industry type: Chemical Manufacturing and the number of employees: 31151 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 688 and after the incident was 516 with a difference of -172 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 AkzoNobel and their customers.

On 24 February 2025, AkzoNobel disclosed Ransomware issues under the banner "Anubis Ransomware Gang Claims 170GB Data Theft from AkzoNobel in February Breach".

In February 2025, the Anubis ransomware operation breached Dutch paint manufacturer AkzoNobel, exfiltrating approximately 170,000 files totaling 170GB of sensitive data.

The disruption is felt across the environment, affecting AWS infrastructure, and exposing 170GB (170,000 files), with nearly 170,000 files records at risk.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Contained.

The case underscores how teams are taking away lessons such as Ongoing risks from unpatched vulnerabilities and evolving ransomware tactics, including destructive payloads.

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 exploited the React2Shell vulnerability in an unpatched React frontend application. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating react2Shell vulnerability exploited to gain access to AWS infrastructure. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating access to AkzoNobel’s AWS infrastructure implies compromised credentials. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating react2Shell vulnerability likely used to escalate privileges in AWS. Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with moderate confidence (60%), supported by evidence indicating anubis has previously deployed a data wiper capable of permanently destroying files. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Cloud Instance Metadata API (T1552.005) with moderate to high confidence (70%), supported by evidence indicating access to AWS infrastructure suggests credential harvesting. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating employee contact details and passport scans exfiltrated and File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating 170,000 files totaling 170GB of sensitive data exfiltrated. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating confidential client agreements, private emails, technical documents exfiltrated. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 170GB of data exfiltrated by Anubis ransomware gang. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating anubis ransomware operation, though encryption not explicitly confirmed and Data Destruction (T1485) with moderate to high confidence (70%), supported by evidence indicating anubis has previously deployed a data wiper capable of permanently destroying files. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (90%)
Execution
Exploitation for Client Execution (80%)
Persistence
Valid Accounts (70%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Defense Evasion
Indicator Removal: File Deletion (60%)
Credential Access
Unsecured Credentials: Cloud Instance Metadata API (70%)
Discovery
Account Discovery (70%)
File and Directory Discovery (80%)
Collection
Data from Local System (90%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Impact
Data Encrypted for Impact (50%)
Data Destruction (70%)

Sources & References