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Analyze » Reserve Bank of India (RBI) » RES1774355781

Incident Score: Analysis & Impact (RES1774355781)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-17
Company Score Before Incident777 / 1000
Company Score After Incident760 / 1000
Company LinkView Reserve Bank of India (RBI) Profile
INCIDENT NUMBERRES1774355781
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSEDNA
INCIDENT DATE30/09/2025
STATUSAll attacks blocked; no breach detected

Key Highlights From The Incident Analysis

  • Timeline of Reserve Bank of India (RBI)'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 Reserve Bank of India (RBI) 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 Reserve Bank of India (RBI) breach identified under incident ID RES1774355781.

The analysis begins with a detailed overview of Reserve Bank of India (RBI)'s information like the linkedin page: https://www.linkedin.com/company/reservebankofindia, the number of followers: 280564, the industry type: Banking and the number of employees: 7701 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 777 and after the incident was 760 with a difference of -17 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 Reserve Bank of India (RBI) and their customers.

On 01 October 2025, Reserve Bank of India (RBI) disclosed Cyberattack Attempts issues under the banner "RBI Repels Over 61 Million Cyberattack Attempts in Q4 2025".

The Reserve Bank of India (RBI) faced over 61 million cyberattack attempts on its website during the October–December 2025 quarter, all of which were successfully blocked by its security systems.

The disruption is felt across the environment, affecting RBI website.

In response, moved swiftly to contain the threat with measures like AI-driven detection and proactive blocking.

The case underscores how All attacks blocked; no breach detected, teams are taking away lessons such as AI and advanced technologies are critical for proactive cybersecurity in financial systems. Regulatory innovation and industry adoption of frameworks like tokenization and standing instructions enhance digital payment security and scalability, and recommending next steps like Leverage AI and APIs for fraud management, reconciliation, customer grievance handling, and multilingual voice-based payments to strengthen Digital Public Infrastructure (DPI).

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 moderate to high confidence (80%), with evidence including 61 million cyberattack attempts on its website, and rBI website as a popular target for hackers and External Remote Services (T1133) with moderate confidence (60%), supported by evidence indicating cyberattack attempts on its website during the October–December 2025 quarter. Under the Reconnaissance tactic, the analysis identified Active Scanning (T1595) with moderate to high confidence (70%), with evidence including threat volume has been doubling every three months, and 61 million cyberattack attempts and Gather Victim Network Information (T1590) with moderate confidence (60%), supported by evidence indicating rBI website as a popular target for hackers. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate confidence (50%), supported by evidence indicating aI-driven defense to detect attack patterns and trace their origins and Impair Defenses: Disable or Modify Tools (T1562.001) with lower confidence (40%), supported by evidence indicating proactive blocking of malicious activity before it reaches critical systems. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate confidence (50%), supported by evidence indicating 61 million cyberattack attempts on its website. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (80%)
External Remote Services (60%)
Reconnaissance
Active Scanning (70%)
Gather Victim Network Information (60%)
Defense Evasion
Obfuscated Files or Information (50%)
Impair Defenses: Disable or Modify Tools (40%)
Command and Control
Application Layer Protocol (50%)

Sources & References