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Analyze » LanguageLine Solutions » LANINT1774903017

Incident Score: Analysis & Impact (LANINT1774903017)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-55
Company Score Before Incident771 / 1000
Company Score After Incident716 / 1000
Company LinkView LanguageLine Solutions Profile
INCIDENT NUMBERLANINT1774903017
Type of Cyber IncidentBreach
ATTACK VECTORThird-party platform compromise
DATA EXPOSEDNames, financial account information
INCIDENT DATE28/12/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of LanguageLine Solutions'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 LanguageLine Solutions 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 LanguageLine Solutions breach identified under incident ID LANINT1774903017.

The analysis begins with a detailed overview of LanguageLine Solutions's information like the linkedin page: https://www.linkedin.com/company/languageline-solutions, the number of followers: 124790, the industry type: Translation and Localization and the number of employees: 9146 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 771 and after the incident was 716 with a difference of -55 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 LanguageLine Solutions and their customers.

On 25 March 2026, LanguageLine Solutions disclosed Data Breach issues under the banner "LanguageLine Solutions Discloses 2025 Data Breach Affecting Financial and Personal Information".

LanguageLine Solutions, the world’s largest provider of language access services, reported a data breach involving a third-party platform, *Interpreter Intelligence*, which occurred in late 2025.

The disruption is felt across the environment, affecting Interpreter Intelligence platform, and exposing Names, financial account information.

In response, and stakeholders are being briefed through Notification letters, dedicated assistance line.

The case underscores how teams are taking away lessons such as Risks associated with third-party data handling and delayed breach notifications, with advisories going out to stakeholders covering Notification letters with credit monitoring enrollment details.

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 Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating breach involving a third-party platform, *Interpreter Intelligence* and Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), supported by evidence indicating unauthorized access to the *Interpreter Intelligence* platform. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating third-party platform used to support interpretation services and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized access to the *Interpreter Intelligence* platform. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating exposed data included names and financial account information. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating breach exposed names and financial account information. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on extent of breach or data handling and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating third-party platform compromise may have altered data integrity. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Compromise Software Supply Chain (80%)
Credential Access
Steal Application Access Token (70%)
Valid Accounts (60%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)

Sources & References