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Analyze » AIVENTU | Microsoft Partner » AIV1765250761

Incident Score: Analysis & Impact (AIV1765250761)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-5
Company Score Before Incident753 / 1000
Company Score After Incident748 / 1000
INCIDENT NUMBERAIV1765250761
Type of Cyber IncidentVulnerability
ATTACK VECTORZero-click email-based attack
DATA EXPOSEDChat histories, OneDrive documents, SharePoint...
INCIDENT DATE10/06/2025
STATUSResolved

Key Highlights From The Incident Analysis

  • Timeline of AIVENTU | Microsoft Partner's Vulnerability 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 AIVENTU | Microsoft Partner 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 AIVENTU | Microsoft Partner breach identified under incident ID AIV1765250761.

The analysis begins with a detailed overview of AIVENTU | Microsoft Partner's information like the linkedin page: https://www.linkedin.com/company/aiventu, the number of followers: 12026, the industry type: Information Technology & Services and the number of employees: 31 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 753 and after the incident was 748 with a difference of -5 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 AIVENTU | Microsoft Partner and their customers.

On 11 June 2025, Microsoft disclosed Data Breach Vulnerability issues under the banner "EchoLeak: Zero-Click Vulnerability in Microsoft Copilot AI Tool".

A recently fixed critical vulnerability in Microsoft’s Copilot AI tool could have let a remote attacker steal sensitive data from an organization simply by sending an email.

The disruption is felt across the environment, affecting Microsoft 365 Copilot, and exposing Chat histories, OneDrive documents, SharePoint content, Teams conversations, preloaded organizational data.

In response, moved swiftly to contain the threat with measures like Microsoft released patches and mitigations, and began remediation that includes Microsoft updated products to mitigate the issue and implemented defense-in-depth measures, and stakeholders are being briefed through Microsoft issued an advisory stating no further action was necessary by customers.

The case underscores how Resolved, teams are taking away lessons such as AI agents like Microsoft Copilot can be exploited via zero-click attacks, highlighting the need for robust security measures in AI integrations. Default configurations may leave organizations vulnerable, and recommending next steps like Organizations should review AI tool configurations, implement defense-in-depth security measures, and monitor for unusual AI agent behavior. Vendors should proactively test for LLM scope violations and similar vulnerabilities, with advisories going out to stakeholders covering Microsoft advised customers that no further action was necessary after the patch was applied.

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%), supported by evidence indicating critical zero-click vulnerability in Microsoft’s Copilot AI tool (CVE-2025-32711) and Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (70%), supported by evidence indicating vulnerability in Microsoft Copilot, a widely used AI agent in Microsoft 365. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating attackers could automatically extract sensitive information without user engagement and Automated Exfiltration (T1020) with moderate to high confidence (85%), supported by evidence indicating zero-click attack allowing hackers to exfiltrate data without interaction. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating lLM scope violation could manipulate Copilot into accessing privileged data. Under the Defense Evasion tactic, the analysis identified Exploitation for Defense Evasion (T1211) with moderate to high confidence (80%), supported by evidence indicating zero-click attack bypassing user interaction requirements and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating lLM scope violation could manipulate AI agent behavior. Under the Collection tactic, the analysis identified Data from Information Repositories: SharePoint (T1213.002) with high confidence (90%), supported by evidence indicating sharePoint content at risk via Copilot vulnerability, Data from Information Repositories: Code Repositories (T1213.003) with moderate to high confidence (70%), supported by evidence indicating oneDrive documents (including code) could be accessed, and Email Collection: Local Email Collection (T1114.001) with moderate to high confidence (80%), supported by evidence indicating chat histories and Teams conversations at risk. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References