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Analyze » Russian Railways » RUS1767603355

Incident Score: Analysis & Impact (RUS1767603355)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-9
Company Score Before Incident835 / 1000
Company Score After Incident826 / 1000
INCIDENT NUMBERRUS1767603355
Type of Cyber IncidentCyber Attack
ATTACK VECTORDDoS
DATA EXPOSEDNA
INCIDENT DATE07/06/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Russian Railways'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 Russian Railways 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 Russian Railways breach identified under incident ID RUS1767603355.

The analysis begins with a detailed overview of Russian Railways's information like the linkedin page: https://www.linkedin.com/company/russian-railways, the number of followers: 0, the industry type: Transportation/Trucking/Railroad and the number of employees: 851 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 835 and after the incident was 826 with a difference of -9 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 Russian Railways and their customers.

On 08 June 2024, Russian Railways disclosed Cyberattack issues under the banner "Ukrainian Intelligence Disables Russian Railways’ Main Website in Cyberattack".

Ukrainian intelligence has claimed responsibility for a cyberattack that disabled the official website of Russian Railways, causing significant disruptions to its NS servers which manage domain name resolution.

The disruption is felt across the environment, affecting zd.ru domain, NS servers, mobile applications.

In response, and stakeholders are being briefed through Public confirmation of the attack.

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.

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 Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (95%), with evidence including dDoS attack with 6 Gbps and 2.5M requests/sec, and targeted the domain’s NS servers and Endpoint Denial of Service: Service Exhaustion Flood (T1499.002) with high confidence (90%), supported by evidence indicating 2.5 million requests per second sustained assault volume. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), with evidence including dNS infrastructure targeted via DDoS, and rendering rzd.ru and subdomains inaccessible. Under the Defense Evasion tactic, the analysis identified Network Denial of Service (T1498) with moderate to high confidence (80%), supported by evidence indicating nonstandard operation described by Ukrainian officials. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Impact
Network Denial of Service (95%)
Endpoint Denial of Service: Service Exhaustion Flood (90%)
Initial Access
Exploit Public-Facing Application (70%)
Defense Evasion
Network Denial of Service (80%)

Sources & References