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Analyze » Organization for Transformative Works » ORG1787113637

Incident Score: Analysis & Impact (ORG1787113637)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-88
Company Score Before Incident762 / 1000
Company Score After Incident674 / 1000
INCIDENT NUMBERORG1787113637
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSED145,000 unique email addresses, usernames,...
INCIDENT DATE31/07/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Organization for Transformative Works'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 Organization for Transformative Works 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 Organization for Transformative Works breach identified under incident ID ORG1787113637.

The analysis begins with a detailed overview of Organization for Transformative Works's information like the linkedin page: https://www.linkedin.com/company/organization-for-transformative-works, the number of followers: 1703, the industry type: Non-profit Organizations and the number of employees: 92 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 762 and after the incident was 674 with a difference of -88 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 Organization for Transformative Works and their customers.

Fanlore recently reported "Fanlore Data Breach Exposes 145K Email Addresses and Hashed Passwords", a noteworthy cybersecurity incident.

Fanlore, a wiki platform focused on fandom and pop culture, suffered a data breach compromising 145,000 unique email addresses, along with usernames and passwords.

The disruption is felt across the environment, and exposing 145,000 unique email addresses, usernames, and hashed passwords, with nearly 145,000 records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Persistent vulnerabilities in password storage practices, particularly the continued use of outdated hashing algorithms like MD5. Risks of credential reuse highlighted, and recommending next steps like Adopt stronger password hashing algorithms (e.g., bcrypt, Argon2), enforce multi-factor authentication, and educate users on credential hygiene.

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 23% of the leaked email addresses had already appeared in previous breaches and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating fanlore suffered a data breach compromising 145,000 unique email addresses. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating exposed passwords were stored as MD5 or PBKDF2 hashes and Password Cracking (T1110.002) with high confidence (90%), supported by evidence indicating weaker MD5 hashes posing a higher risk of decryption. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating compromising 145,000 unique email addresses, along with usernames and passwords. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach compromising 145,000 unique email addresses. Under the Impact tactic, the analysis identified Account Access Removal (T1531) with moderate confidence (50%), supported by evidence indicating high risk of decryption for MD5 hashes and Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating outdated hashing algorithms like MD5. 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
Credentials from Password Stores (80%)
Password Cracking (90%)
Collection
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Account Access Removal (50%)
Data Destruction (40%)

Sources & References