Incident Score: Analysis & Impact (SAM1780527307)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Samsara'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 Samsara 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 Samsara breach identified under incident ID SAM1780527307.
The analysis begins with a detailed overview of Samsara's information like the linkedin page: https://www.linkedin.com/company/samsara, the number of followers: 422243, the industry type: Software Development and the number of employees: 5173 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 792 and after the incident was 778 with a difference of -14 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 Samsara and their customers.
On 01 August 2024, a cybersecurity incident called "New Phishing Campaign Targets North American Transportation and Logistics Firms" came to light.
A sophisticated phishing campaign is targeting transportation and logistics companies across North America, delivering information stealers and remote access trojans (RATs) via compromised legitimate email accounts.
The disruption is felt across the environment, and exposing True.
Formal response steps have not been shared publicly yet.
The case underscores how ongoing.
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 Phishing: Spearphishing Attachment (T1566.001) with high confidence (90%), supported by evidence indicating internet shortcut (.URL) attachments or Google Drive links leading to malicious files, Phishing: Spearphishing Link (T1566.002) with high confidence (90%), supported by evidence indicating google Drive links leading to malicious files, and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating delivering...via compromised legitimate email accounts. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with high confidence (90%), supported by evidence indicating tricking victims into executing a Base64-encoded PowerShell script and Command and Scripting Interpreter: PowerShell (T1059.001) with high confidence (90%), supported by evidence indicating base64-encoded PowerShell script under the guise of fixing browser issues. Under the Persistence tactic, the analysis identified External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating netSupport RAT enabling remote access. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (90%), supported by evidence indicating base64-encoded PowerShell script and Masquerading (T1036) with moderate to high confidence (80%), supported by evidence indicating disguised executables...impersonated industry-specific software. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (80%), supported by evidence indicating lumma Stealer and StealC distributed and Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating information stealers (Lumma Stealer, StealC). Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating romCom RAT (SnipBot) includes file manipulation commands and Process Discovery (T1057) with moderate to high confidence (70%), supported by evidence indicating romCom RAT (SnipBot) enables process enumeration. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating information stealers (Lumma Stealer, StealC) and Automated Collection (T1119) with moderate to high confidence (80%), supported by evidence indicating lumma Stealer and StealC for data exfiltration. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating sOCKS proxy setup via RomCom RAT (SnipBot) and Proxy: External Proxy (T1090.002) with moderate to high confidence (70%), supported by evidence indicating sOCKS proxy setup via RomCom RAT (SnipBot). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating romCom RAT (SnipBot) enables data exfiltration and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating malware fetched via SMB from remote servers. Under the Reconnaissance tactic, the analysis identified Gather Victim Org Information (T1591) with moderate to high confidence (80%), supported by evidence indicating phishing lures impersonated industry-specific software (Samsara, AMB Logistic). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Samsara Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/samsara/incident/SAM1780527307
- Samsara CyberSecurity Rating page: https://www.rankiteo.com/company/samsara
- Samsara Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/sam1780527307-samsara-cyber-attack-may-2024/
- Samsara CyberSecurity Score History: https://www.rankiteo.com/company/samsara/history
- Samsara CyberSecurity Incident Source: https://thehackernews.com/2024/09/transportation-companies-hit-by.html
- 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