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Analyze » Propio Language Services » PRO1787632254

Incident Score: Analysis & Impact (PRO1787632254)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-54
Company Score Before Incident773 / 1000
Company Score After Incident719 / 1000
INCIDENT NUMBERPRO1787632254
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonally identifiable information (PII) and...
INCIDENT DATE20/08/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Propio Language Services's Breach 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 Propio Language Services 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 Propio Language Services breach identified under incident ID PRO1787632254.

The analysis begins with a detailed overview of Propio Language Services's information like the linkedin page: https://www.linkedin.com/company/propiols, the number of followers: 138072, the industry type: Translation and Localization and the number of employees: 11597 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 773 and after the incident was 719 with a difference of -54 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 Propio Language Services and their customers.

On 21 August 2026, United Language Group (ULG) disclosed Data Breach issues under the banner "United Language Group Data Breach Exposes Sensitive Personal and Medical Information".

United Language Group (ULG), a Minneapolis-based language services provider acquired by Propio Language Services in September 2024, disclosed a data breach that compromised sensitive personal and medical information.

The disruption is felt across the environment, and exposing Personally identifiable information (PII) and protected health information (PHI).

In response, and stakeholders are being briefed through Notified impacted individuals via U.S. Mail.

The case underscores how with advisories going out to stakeholders covering Notified impacted individuals via U.S. Mail.

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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating sensitive personal and medical information was compromised and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating no details on attack vector, but PII/PHI exposed. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating social Security numbers, driver’s license numbers compromised and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating financial details (account/credit card numbers) exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating pII/PHI compromised via undisclosed breach method and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating medical records and health insurance data exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 333 Texas residents confirmed as affected and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on exfiltration method, but data was compromised. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on malware or data destruction and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating high risk of identity theft and fraud. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (60%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (70%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (30%)
Stored Data Manipulation (40%)

Sources & References