Incident Score: Analysis & Impact (ANA1775660330)
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 Analytical Center for the Government of the Russian Federation'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 Analytical Center for the Government of the Russian Federation 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 Analytical Center for the Government of the Russian Federation breach identified under incident ID ANA1775660330.
The analysis begins with a detailed overview of Analytical Center for the Government of the Russian Federation's information like the linkedin page: https://www.linkedin.com/company/analytical-center-for-the-government-of-the-russian-federation, the number of followers: 0, the industry type: Public Policy Offices and the number of employees: 47 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 804 and after the incident was 786 with a difference of -18 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 Analytical Center for the Government of the Russian Federation and their customers.
On 01 August 2025, a cybersecurity incident called "Russian APT Forest Blizzard Exploits SOHO Routers for Large-Scale DNS Hijacking and Espionage" came to light.
Since at least August 2025, the Russian military-linked threat actor Forest Blizzard (also tracked as Storm-2754) has conducted a widespread campaign targeting vulnerable small office/home office (SOHO) routers to hijack Domain Name System (DNS) requests and facilitate large-s...
The disruption is felt across the environment, affecting SOHO routers, DNS resolvers and Microsoft 365 domains (Outlook on the web), and exposing DNS traffic, TLS-encrypted communications (e.g., emails), cloud-hosted content.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing (as of disclosure), teams are taking away lessons such as Unmanaged SOHO devices can serve as entry points into enterprise environments, enabling large-scale surveillance and follow-on attacks. Organizations should secure edge devices and monitor DNS traffic for anomalies, and recommending next steps like Secure SOHO routers with strong configurations and regular updates, Monitor DNS traffic for unauthorized redirections and Implement multi-factor authentication (MFA) for cloud services.
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 Exploit Public-Facing Application (T1190) with high confidence (90%), with evidence including exploiting vulnerable SOHO routers, and insecure edge devices to reroute DNS traffic and External Remote Services (T1133) with moderate to high confidence (80%), with evidence including gained control of SOHO routers, and targeting vulnerable small office/home office (SOHO) routers. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate to high confidence (70%), supported by evidence indicating altering their DNS settings to redirect queries to malicious servers. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (80%), with evidence including altering their DNS settings, and dNS hijacking via dnsmasq utility and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating using legitimate dnsmasq utility. Under the Credential Access tactic, the analysis identified Adversary-in-the-Middle (T1557) with high confidence (90%), with evidence including aiTM attacks against TLS connections, and intercepting plaintext traffic including emails and Adversary-in-the-Middle: TLS Interception (T1557.002) with high confidence (90%), supported by evidence indicating spoofed DNS responses to force connections to attacker-controlled infrastructure. Under the Collection tactic, the analysis identified Data Staged (T1074) with moderate to high confidence (80%), with evidence including monitoring traffic for intelligence collection, and intercepting cloud-hosted content, Email Collection (T1114) with high confidence (90%), with evidence including intercepting plaintext traffic including emails, and microsoft Outlook on the web domains, and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating cloud-hosted content from sectors such as government, IT, telecommunications. Under the Command and Control tactic, the analysis identified Application Layer Protocol: DNS (T1071.004) with high confidence (90%), supported by evidence indicating dNS hijacking to reroute DNS traffic through actor-controlled resolvers and Dynamic Resolution (T1568) with moderate to high confidence (70%), supported by evidence indicating actor-controlled resolvers for DNS requests. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), with evidence including large-scale surveillance, and intelligence-gathering in support of Russian foreign policy. Under the Reconnaissance tactic, the analysis identified Gather Victim Network Information (T1590) with high confidence (90%), with evidence including passive reconnaissance, and monitoring traffic for intelligence collection and Gather Victim Network Information: Domain Properties (T1590.001) with moderate to high confidence (80%), supported by evidence indicating dNS hijacking to resolve DNS requests. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Analytical Center for the Government of the Russian Federation Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/analytical-center-for-the-government-of-the-russian-federation/incident/ANA1775660330
- Analytical Center for the Government of the Russian Federation CyberSecurity Rating page: https://www.rankiteo.com/company/analytical-center-for-the-government-of-the-russian-federation
- Analytical Center for the Government of the Russian Federation Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ana1775660330-government-servers-in-africa-cyber-attack-april-2026/
- Analytical Center for the Government of the Russian Federation CyberSecurity Score History: https://www.rankiteo.com/company/analytical-center-for-the-government-of-the-russian-federation/history
- Analytical Center for the Government of the Russian Federation CyberSecurity Incident Source: https://www.microsoft.com/en-us/security/blog/2026/04/07/soho-router-compromise-leads-to-dns-hijacking-and-adversary-in-the-middle-attacks/
- 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