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Analyze » Salesforce » THEINGSALJAGORASYNDAV1769095448

Incident Score: Analysis & Impact (THEINGSALJAGORASYNDAV1769095448)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-410
Company Score Before Incident566 / 1000
Company Score After Incident156 / 1000
INCIDENT NUMBERTHEINGSALJAGORASYNDAV1769095448
Type of Cyber IncidentRansomware
ATTACK VECTORStolen credentials, Social engineering, Supply chain vulnerabilities
DATA EXPOSEDTrue
INCIDENT DATE31/12/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Salesforce's Ransomware 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 Salesforce 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 Salesforce breach identified under incident ID THEINGSALJAGORASYNDAV1769095448.

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 566 and after the incident was 156 with a difference of -410 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.

Salesforce Ecosystem recently reported "Ransomware in 2025: A Systemic Threat Disrupting Global Supply Chains and Critical Services", a noteworthy cybersecurity incident.

In 2025, ransomware evolved from isolated IT disruptions into a systemic risk, threatening national supply chains, essential services, and entire industries.

The disruption is felt across the environment, affecting SaaS platforms, IT distribution networks and Healthcare infrastructure, and exposing True, plus an estimated financial loss of $275 billion annually by 2031 (projected global cost).

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Ransomware has evolved into a systemic risk with cascading impacts on supply chains, critical services, and industries. Initial access often relies on stolen credentials or social engineering, and supply chain vulnerabilities amplify the impact. Data theft and operational paralysis are primary damage drivers, with delayed consequences such as regulatory penalties or human harm.

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 high confidence (90%), supported by evidence indicating initial access frequently relied on stolen credentials, Phishing (T1566) with moderate to high confidence (80%), supported by evidence indicating social engineering as a key initial access vector, and Supply Chain Compromise (T1195) with moderate to high confidence (85%), supported by evidence indicating supply chain vulnerabilities amplified impact, SaaS supply chain blind spots exploited. Under the Execution tactic, the analysis identified User Execution (T1204) with moderate to high confidence (70%), supported by evidence indicating social engineering implies user execution of malicious actions. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating stolen credentials used for sustained access. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (75%), supported by evidence indicating stolen credentials likely used for privilege escalation. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating stolen credentials used to blend in with legitimate activity and Hide Artifacts (T1564) with moderate confidence (60%), supported by evidence indicating ransomware attacks often employ defense evasion techniques. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (80%), supported by evidence indicating stolen credentials as a primary initial access vector and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating implied by reliance on credential-based attacks. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating stolen credentials imply discovery of high-value accounts and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating ransomware typically involves discovery of target data. Under the Lateral Movement tactic, the analysis identified Remote Services (T1021) with moderate to high confidence (80%), supported by evidence indicating stolen credentials used for lateral movement across networks and Lateral Tool Transfer (T1570) with moderate to high confidence (70%), supported by evidence indicating supply chain attacks imply lateral movement within ecosystems. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating data theft and exfiltration confirmed in ransomware attacks and Data from Network Shared Drive (T1039) with moderate to high confidence (80%), supported by evidence indicating supply chain attacks imply collection from shared resources. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating ransomware typically uses C2 channels for data exfiltration. 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 incidents and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating saaS supply chain attacks imply cloud-based exfiltration. 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 (80%), supported by evidence indicating ransomware often disrupts recovery mechanisms, Defacement (T1491) with moderate confidence (50%), supported by evidence indicating ransomware may include defacement for extortion, and Endpoint Denial of Service (T1499) with moderate to high confidence (80%), supported by evidence indicating operational paralysis and downtime confirmed. 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 (90%)
Phishing (80%)
Supply Chain Compromise (85%)
Execution
User Execution (70%)
Persistence
Valid Accounts (80%)
Privilege Escalation
Valid Accounts (75%)
Defense Evasion
Valid Accounts (80%)
Hide Artifacts (60%)
Credential Access
Unsecured Credentials (80%)
Brute Force (50%)
Discovery
Account Discovery (70%)
File and Directory Discovery (70%)
Lateral Movement
Remote Services (80%)
Lateral Tool Transfer (70%)
Collection
Data from Local System (90%)
Data from Network Shared Drive (80%)
Command and Control
Application Layer Protocol (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Transfer Data to Cloud Account (60%)
Impact
Data Encrypted for Impact (95%)
Inhibit System Recovery (80%)
Defacement (50%)
Endpoint Denial of Service (80%)