ALAW Breach Incident Score: Analysis & Impact (ALB1092910111425)

In this Rankiteo incident briefing, we review the ALAW breach identified under incident ID ALB1092910111425.

The analysis begins with a detailed overview of ALAW's information like the linkedin page: https://www.linkedin.com/company/albertelli-law, the number of followers: 4605, the industry type: Law Practice and the number of employees: 218 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 752 and after the incident was 690 with a difference of -62 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 ALAW and their customers.

On 07 November 2025, ALAW disclosed Data Breach issues under the banner "ALAW Data Breach - August 2025".

ALAW reported a data breach to the Attorney General of the Commonwealth of Massachusetts, where sensitive personal identifiable information (PII) in its care may have been compromised.

The disruption is felt across the environment, and exposing Name and Social Security number.

In response, teams activated the incident response plan, and began remediation that includes Review of compromised data and Identification of affected individuals, while recovery efforts such as 24 months of complimentary credit monitoring for affected individuals continue, and stakeholders are being briefed through Data breach notification letters mailed to impacted individuals on 2025-11-07 and Notification to the Attorney General of the Commonwealth of Massachusetts.

The case underscores how Completed (review of impacted data and identification of affected individuals conducted), with advisories going out to stakeholders covering Data breach notification letters sent to impacted individuals on 2025-11-07.

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.

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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party may have accessed and acquired sensitive personal information from its systems and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating breach was first identified on August 21, 2025, when an online source claimed possession of the firm’s data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating sensitive personal identifiable information (PII) was compromised... names and Social Security numbers (SSNs). Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (85%), with evidence including data claimed to be in possession of unauthorized third party, and between August 6 and August 13, 2025, sensitive PII was compromised. Under the Impact tactic, the analysis identified Data from Cloud Storage Object (T1598) with moderate to high confidence (75%), supported by evidence indicating sensitive PII in its care may have been compromised (implied storage in firm’s systems) and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating data exfiltration likely (no explicit mention of destruction, but implied in breach context). Under the Defense Evasion tactic, the analysis identified File Deletion: Delete or Alter Stored Data (T1070.004) with lower confidence (40%), supported by evidence indicating no explicit evidence, but common in PII-focused breaches to evade forensic analysis. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.