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Analyze » Beacon Data, Inc. » BEACOL1786105442

Incident Score: Analysis & Impact (BEACOL1786105442)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-59
Company Score Before Incident753 / 1000
Company Score After Incident694 / 1000
INCIDENT NUMBERBEACOL1786105442
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDNames, addresses, email addresses, phone...
INCIDENT DATE02/08/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Beacon Data, Inc.'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 Beacon Data, Inc. 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 Beacon Data, Inc. breach identified under incident ID BEACOL1786105442.

The analysis begins with a detailed overview of Beacon Data, Inc.'s information like the linkedin page: https://www.linkedin.com/company/beacon-data-inc, the number of followers: 2974, the industry type: Information Technology & Services and the number of employees: 28 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 753 and after the incident was 694 with a difference of -59 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 Beacon Data, Inc. and their customers.

On 03 August 2026, Beacon disclosed Data Breach issues under the banner "Beacon Data Breach Exposes Personal Information of 1,000+ Organizations, Including JFC Affiliates".

Beacon, a third-party database provider storing membership and affiliate data for Justice for Colombia (JFC) and over 1,000 other organizations, reported a cybersecurity incident where an unauthorized third party accessed its systems and exfiltrated copies of database backups...

The disruption is felt across the environment, affecting Beacon's database systems, and exposing Names, addresses, email addresses, phone numbers, affiliated branch/region names, point of contact details, records of affiliation fees and donations.

In response, moved swiftly to contain the threat with measures like Attack was contained after data exfiltration, and stakeholders are being briefed through Direct notifications to affected affiliates and supporters, public advisory.

The case underscores how and recommending next steps like Vigilance against suspicious communications, avoid unsolicited requests for payment details or credentials, with advisories going out to stakeholders covering JFC has clarified it will not request payment details or credentials unsolicited and provided a contact email ([email protected]) for inquiries.

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 moderate confidence (60%), supported by evidence indicating unauthorized third party accessed its systems (Beacons database) and Trusted Relationship (T1199) with moderate to high confidence (80%), supported by evidence indicating beacon, a third-party database provider, was compromised. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (50%), supported by evidence indicating database backups exfiltrated (may imply access token abuse). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating names, addresses, email addresses, phone numbers, affiliation records and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating copies of database backups exfiltrated (membership/affiliate data). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating exfiltrated copies of database backups before attack was contained and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating unauthorized third party accessed systems (cloud storage possible). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating attack was contained after data exfiltration (no evidence of destruction) and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating potential reputational damage to Beacon and affiliated organizations. 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 (60%)
Trusted Relationship (80%)
Credential Access
Steal Application Access Token (50%)
Collection
Data from Local System (90%)
Data from Information Repositories (90%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)

Sources & References