Salesforce Breach Incident Score: Analysis & Impact (QILCYBSALHALPLA1768955694)

In this Rankiteo incident briefing, we review the Salesforce breach identified under incident ID QILCYBSALHALPLA1768955694.

The analysis begins with a detailed overview of Salesforce's information like the linkedin page: https://www.linkedin.com/company/salesforce, the number of followers: 6288912, the industry type: Software Development and the number of employees: 86766 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 696 and after the incident was 574 with a difference of -122 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 Salesforce and their customers.

A newly reported cybersecurity incident, "Ransomware and Supply Chain Attacks Surge in 2025", has drawn attention.

2025 marked a sharp escalation in cyber threats, with ransomware and supply chain attacks reaching unprecedented levels.

The disruption is felt across the environment, affecting government, law enforcement and energy.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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.

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 supply chain attacks surged by 93%, and exploited third-party vulnerabilities, Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), with evidence including software package poisoning, and vendor distribution pipelines, Trusted Relationship (T1199) with moderate to high confidence (85%), with evidence including abused OAuth-based trust relationships, and compromised third-party tokens, and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised third-party tokens via Salesforce integrations. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating exploited cloud integrations and SaaS trust relationships and User Execution (T1204) with moderate confidence (60%), supported by evidence indicating threat actors weaponized OAuth-based trust relationships. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised third-party tokens for persistent access and Trusted Relationship (T1199) with moderate to high confidence (75%), supported by evidence indicating abused upstream services like identity providers. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (75%), supported by evidence indicating compromised third-party tokens for elevated access. Under the Defense Evasion tactic, the analysis identified Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (70%), supported by evidence indicating exploited vendor distribution pipelines to evade detection and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating used compromised tokens to blend in with legitimate traffic. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating compromised third-party tokens via OAuth-based trust relationships and Credentials from Cloud Instance Metadata API (T1552.007) with moderate confidence (60%), supported by evidence indicating exploited cloud integrations for credential access. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (70%), supported by evidence indicating exploited third-party vulnerabilities to move laterally and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating used compromised tokens to access downstream environments. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating data exfiltration as primary motivation. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed in ransomware attacks. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (95%), supported by evidence indicating data encryption confirmed in ransomware attacks, Inhibit System Recovery (T1490) with moderate to high confidence (70%), supported by evidence indicating ransomware strains derived from MedusaLocker, Chaos, Makop, and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating ransomware groups like Qilin and CL0P disrupt operations. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.