Incident Score: Analysis & Impact (PANBIT1786875896)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Panorays's Cyber Attack 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 Panorays 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 Panorays breach identified under incident ID PANBIT1786875896.
The analysis begins with a detailed overview of Panorays's information like the linkedin page: https://www.linkedin.com/company/panorays, the number of followers: 19436, the industry type: Software Development and the number of employees: 119 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 717 and after the incident was 696 with a difference of -21 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 Panorays and their customers.
Bits of Gold recently reported "Bits of Gold Data Breach Linked to Global Cyber Incident", a noteworthy cybersecurity incident.
Cryptocurrency platform Bits of Gold disclosed a cyber incident where customer data including full names, ID numbers, email addresses, phone numbers, and IP addresses was compromised.
The disruption is felt across the environment, affecting Support data analysis system, and exposing Customer data (full names, ID numbers, email addresses, phone numbers, IP addresses, bank account details, public crypto wallet addresses).
In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Unauthorized access blocked, and began remediation that includes Forensic review underway, and stakeholders are being briefed through Customer notification advising caution against phishing and scams.
The case underscores how Ongoing, teams are taking away lessons such as Risks of supply-chain attacks and vulnerabilities in third-party vendors, and recommending next steps like Customers advised to remain cautious of phishing attempts, impersonation scams, and suspicious messages, with advisories going out to stakeholders covering Advised to be cautious of phishing, impersonation scams, and suspicious messages; company will not request passwords, verification codes, or asset transfers.
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%), with evidence including breach originated from a third-party software provider, and part of a larger global cyberattack and Compromise Software Supply Chain (T1195.002) with high confidence (90%), with evidence including third-party software provider used by Bits of Gold, and supply-chain attacks...vulnerabilities in third-party vendors. Under the Credential Access tactic, the analysis identified Compromise Accounts (T1586) with moderate to high confidence (70%), with evidence including unauthorized access to a support data analysis system, and customer data...was compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating customer data including full names, ID numbers, email addresses, phone numbers and Data from Information Repositories (T1213) with moderate to high confidence (80%), with evidence including support data analysis system was accessed, and bank account details and public crypto wallet addresses. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), with evidence including data breach...customer data was compromised, and no evidence the information has been misused (implies exfiltration). Under the Impact tactic, the analysis identified Defacement (T1491) with moderate confidence (50%), with evidence including company disclosed a cyber incident, and customer notification advising caution and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized access to a support data analysis system. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Panorays Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/panorays/incident/PANBIT1786875896
- Panorays CyberSecurity Rating page: https://www.rankiteo.com/company/panorays
- Panorays Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/panbit1786875896-third-party-software-provider-bits-of-gold-cyber-attack-august-2026/
- Panorays CyberSecurity Score History: https://www.rankiteo.com/company/panorays/history
- Panorays CyberSecurity Incident Source: https://www.calcalistech.com/ctechnews/article/hkserzkvfe
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf