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Analyze » Ministry of Science and Innovation of Spain » CIE1770374017

Incident Score: Analysis & Impact (CIE1770374017)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-26
Company Score Before Incident767 / 1000
Company Score After Incident741 / 1000
INCIDENT NUMBERCIE1770374017
Type of Cyber IncidentCyber Attack
ATTACK VECTORInsecure Direct Object Reference (IDOR)
DATA EXPOSEDScanned IDs, passports, IBAN numbers,...
INCIDENT DATE04/03/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Ministry of Science and Innovation of Spain'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 Ministry of Science and Innovation of Spain 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 Ministry of Science and Innovation of Spain breach identified under incident ID CIE1770374017.

The analysis begins with a detailed overview of Ministry of Science and Innovation of Spain's information like the linkedin page: https://www.linkedin.com/company/cienciagob, the number of followers: 141599, the industry type: Government Administration and the number of employees: 594 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 767 and after the incident was 741 with a difference of -26 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 Ministry of Science and Innovation of Spain and their customers.

Spain’s Ministry of Science, Innovation and Universities recently reported "Spain’s Ministry of Science Hit by Cyberattack, Disrupting Research and Education Services", a noteworthy cybersecurity incident.

A cyberattack on Spain’s Ministry of Science, Innovation and Universities has triggered a partial shutdown of critical government IT systems, halting administrative procedures and exposing sensitive data.

The disruption is felt across the environment, affecting Government IT systems, administrative procedures, and exposing Scanned IDs, passports, IBAN numbers, academic transcripts, personal curricula, email addresses, enrollment records.

In response, moved swiftly to contain the threat with measures like Suspension of administrative procedures, extension of deadlines, and stakeholders are being briefed through Public notice acknowledging outage.

The case underscores how Ongoing, teams are taking away lessons such as The breach underscores vulnerabilities in Spain’s public-sector infrastructure, where weak defenses turn digital services into liabilities. Rapid digital expansion has outpaced cybersecurity investments, leaving institutions underprotected against rising cyber threats, with advisories going out to stakeholders covering Public notice acknowledging outage and suspension of procedures.

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%), supported by evidence indicating exploiting an Insecure Direct Object Reference (IDOR) vulnerability. Under the Credential Access tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating gained full-admin-level access via IDOR vulnerability. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating leaked samples including scanned IDs, passports, IBAN numbers, academic transcripts and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating internal documents, email addresses, and enrollment records exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating sharing unverified screenshots of internal documents on underground forums. Under the Impact tactic, the analysis identified Service Stop (T1489) with moderate to high confidence (80%), supported by evidence indicating partial shutdown of critical government IT systems, halting administrative procedures and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating potential consequences for researchers, students, and businesses nationwide. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate confidence (60%), supported by evidence indicating initially dismissed as a technical incident. 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 (90%)
Credential Access
Valid Accounts (80%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Service Stop (80%)
Data Manipulation: Stored Data Manipulation (50%)
Defense Evasion
Masquerading (60%)

Sources & References