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Analyze » GLOBSEC » GOOGLO1787819408

Incident Score: Analysis & Impact (GOOGLO1787819408)

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 Incident751 / 1000
Company Score After Incident734 / 1000
INCIDENT NUMBERGOOGLO1787819408
Type of Cyber IncidentCyber Attack
ATTACK VECTOROAuth phishing, Device-code attacks, Credential-harvesting infrastructure, Evilginx reverse-proxy setups
DATA EXPOSEDTrue
INCIDENT DATE12/01/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of GLOBSEC'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 GLOBSEC 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 GLOBSEC breach identified under incident ID GOOGLO1787819408.

The analysis begins with a detailed overview of GLOBSEC's information like the linkedin page: https://www.linkedin.com/company/globsec, the number of followers: 21750, the industry type: International Affairs and the number of employees: 151 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 751 and after the incident was 734 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 GLOBSEC and their customers.

A newly reported cybersecurity incident, "Russian-Linked Cyber Espionage Campaign Expands OAuth and Phishing Tactics", has drawn attention.

A sophisticated cyber espionage campaign linked to Russian threat actors including UNC6293, a subcluster of ICE RELIC (APT29/Cozy Bear/Midnight Blizzard), is escalating account-compromise operations by abusing legitimate authentication workflows.

The disruption is felt across the environment, and exposing True.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as The campaign highlights the growing threat of adversary-in-the-middle (AitM) phishing frameworks, which exploit trust in identity services rather than technical flaws, and recommending next steps like Organizations are advised to monitor for unexpected OAuth consent requests, device-code prompts, and anomalous token usage to mitigate exposure.

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 Phishing: Spearphishing Link (T1566.002) with high confidence (90%), with evidence including oAuth phishing lures (foreignrelations.us, dosportal.app), and fake event invitations (GLOBSEC Forum 2026 lure) and Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (70%), supported by evidence indicating decoy login pages mimicking Google Drive (drive.google.verify-drive.com). Under the Credential Access tactic, the analysis identified Forge Web Credentials: SAML Tokens (T1606.002) with moderate to high confidence (80%), supported by evidence indicating evilginx reverse-proxy setups to capture session credentials, Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating oAuth phishing to trick victims into authorizing attacker-controlled access, and Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating microsoft device-code phishing attacks. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material: Web Session Cookie (T1550.004) with moderate to high confidence (80%), supported by evidence indicating evilginx-style behavior to bypass MFA protections and Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating abusing legitimate authentication workflows (OAuth, device-code attacks). Under the Collection tactic, the analysis identified Data from Information Repositories: Sharepoint (T1213.002) with moderate to high confidence (70%), supported by evidence indicating domains like sharefolders.org, formshare.cloud mimicking file-sharing services and Data from Local System (T1005) with moderate confidence (60%), supported by evidence indicating session credentials and authentication tokens compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating cyber espionage campaign targeting high-value sectors (government, defense). Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating evilginx reverse-proxy setups redirecting to legitimate sites. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing: Spearphishing Link (90%)
Phishing: Spearphishing Attachment (70%)
Credential Access
Forge Web Credentials: SAML Tokens (80%)
Steal Application Access Token (90%)
Brute Force: Password Guessing (60%)
Defense Evasion
Use Alternate Authentication Material: Web Session Cookie (80%)
Valid Accounts: Cloud Accounts (90%)
Collection
Data from Information Repositories: Sharepoint (70%)
Data from Local System (60%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Command and Control
Application Layer Protocol: Web Protocols (70%)

Sources & References