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Analyze » ServiceNow » SER1781072827

Incident Score: Analysis & Impact (SER1781072827)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-3
Company Score Before Incident825 / 1000
Company Score After Incident822 / 1000
INCIDENT NUMBERSER1781072827
Type of Cyber IncidentVulnerability
ATTACK VECTORExploitation of unauthenticated API endpoint
DATA EXPOSEDSensitive enterprise information, including IT...
INCIDENT DATE04/06/2026
STATUSOngoing (evaluating scope and impact)

Key Highlights From The Incident Analysis

  • Timeline of ServiceNow'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 ServiceNow 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 ServiceNow breach identified under incident ID SER1781072827.

The analysis begins with a detailed overview of ServiceNow's information like the linkedin page: https://www.linkedin.com/company/servicenow, the number of followers: 1591948, the industry type: Software Development and the number of employees: 35331 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 825 and after the incident was 822 with a difference of -3 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 ServiceNow and their customers.

On 05 June 2026, ServiceNow Customers disclosed Unauthorized Data Access issues under the banner "ServiceNow Warns of Exploited API Flaw Leading to Unauthorized Data Access".

ServiceNow has disclosed a security incident involving the exploitation of an unauthenticated access flaw in a vulnerable API endpoint, allowing attackers to query data from customer instances.

The disruption is felt across the environment, affecting Customer instances on the Australia platform release or older releases with specific configuration changes, and exposing Sensitive enterprise information, including IT support tickets, employee records, internal documentation, asset inventories, and security incident reports.

In response, moved swiftly to contain the threat with measures like Modified API endpoint configuration to enforce authentication requirements, and began remediation that includes Security update issued to hosted customer instances, restricting API access to authenticated users only, and stakeholders are being briefed through Opened support cases with impacted customers; confirmed unaffected customers were not notified.

The case underscores how Ongoing (evaluating scope and impact), and recommending next steps like Review logs for suspicious API requests, particularly from IP address `51.159.98.241`; ensure API endpoints are configured with authentication requirements, with advisories going out to stakeholders covering Impacted customers notified via support cases; unaffected customers not notified.

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 exploitation of an unauthenticated access flaw in a vulnerable API endpoint. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (80%), supported by evidence indicating support tickets often contain credentials, API tokens, and authentication secrets and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating iT support tickets may contain credentials, API tokens, and authentication secrets. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating attackers to query data from customer instances storing sensitive enterprise information and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating data compromised includes IT support tickets, employee records, internal documentation. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized access flaw allowing attackers to query data from customer instances. Under the Defense Evasion tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (60%), supported by evidence indicating aPI endpoint configured with `requires_authentication=false`. 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
Steal Application Access Token (80%)
Unsecured Credentials: Credentials In Files (80%)
Collection
Data from Information Repositories (90%)
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Defense Evasion
Modify Authentication Process (60%)

Sources & References