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Analyze » TSC Auto ID Technology » TSCLMT1790173503

Incident Score: Analysis & Impact (TSCLMT1790173503)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-62
Company Score Before Incident756 / 1000
Company Score After Incident694 / 1000
INCIDENT NUMBERTSCLMT1790173503
Type of Cyber IncidentBreach
ATTACK VECTORWebsite Vulnerability Exploitation
DATA EXPOSEDNames, contact details, device passcodes,...
INCIDENT DATE14/09/2026
STATUSOngoing (additional potential victims under investigation)

Key Highlights From The Incident Analysis

  • Timeline of TSC Auto ID Technology'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 TSC Auto ID Technology 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 TSC Auto ID Technology breach identified under incident ID TSCLMT1790173503.

The analysis begins with a detailed overview of TSC Auto ID Technology's information like the linkedin page: https://www.linkedin.com/company/tsc-auto-id-technology, the number of followers: 11610, the industry type: Retail Office Equipment and the number of employees: 253 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 756 and after the incident was 694 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 TSC Auto ID Technology and their customers.

On 01 September 2023, TSC disclosed Cyber Extortion issues under the banner "Latvian Police Arrest 23-Year-Old in Cyber Extortion Scheme Targeting Businesses".

Latvian authorities have arrested a 23-year-old man suspected of hacking at least two companies, stealing sensitive customer data, and attempting to extort payments in exchange for silence.

The disruption is felt across the environment, affecting Customer repair request databases, and exposing Names, contact details, device passcodes, bank account numbers, building access codes.

In response, and began remediation that includes Unpatched vulnerability addressed, and stakeholders are being briefed through Public disclosure of breach.

The case underscores how Ongoing (additional potential victims under investigation), with advisories going out to stakeholders covering Breach disclosed to affected customers.

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 vulnerabilities in company websites to access databases and External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating unpatched vulnerability in its website that exposed a database. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with moderate confidence (60%), supported by evidence indicating employed automated tools to scan for security weaknesses. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (50%), supported by evidence indicating access databases, extracting personal information including...device passcodes. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating stealing sensitive customer data...names, contact details, device passcodes and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating exploited vulnerabilities in company websites to access databases. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration such as Yes and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating masking his location with digital obfuscation techniques. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating attempting to extort payments in exchange for silence and Financial Theft (T1657) with moderate to high confidence (80%), supported by evidence indicating demanded ransom payments to prevent the data’s public release. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating masking his location with digital obfuscation techniques and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating anonymous email accounts. 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%)
External Remote Services (70%)
Execution
Command and Scripting Interpreter (60%)
Credential Access
Unsecured Credentials: Credentials In Files (50%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service (60%)
Impact
Data Encrypted for Impact (30%)
Financial Theft (80%)
Defense Evasion
Obfuscated Files or Information (70%)
Hide Artifacts: Hidden Files and Directories (50%)

Sources & References