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Analyze » Dgraph Labs » DGR1775478238

Incident Score: Analysis & Impact (DGR1775478238)

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 Incident750 / 1000
Company Score After Incident747 / 1000
INCIDENT NUMBERDGR1775478238
Type of Cyber IncidentVulnerability
ATTACK VECTORRemote Exploitation
DATA EXPOSEDSensitive files (e.g., password hashes,...
INCIDENT DATE05/04/2026
STATUSVulnerability disclosed; patch pending

Key Highlights From The Incident Analysis

  • Timeline of Dgraph Labs'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 Dgraph Labs 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 Dgraph Labs breach identified under incident ID DGR1775478238.

The analysis begins with a detailed overview of Dgraph Labs's information like the linkedin page: https://www.linkedin.com/company/dgraph-labs, the number of followers: 14054, the industry type: Software Development and the number of employees: 19 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 750 and after the incident was 747 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 Dgraph Labs and their customers.

Dgraph recently reported "Critical Zero-Day Vulnerability in Dgraph Exposes Databases to Remote Takeover", a noteworthy cybersecurity incident.

A maximum-severity flaw (CVE-2026-34976, CVSS 10.0) in Dgraph, a widely used open-source graph database, allows unauthenticated attackers to bypass all security controls, overwrite databases, exfiltrate sensitive files, and launch Server-Side Request Forgery (SSRF) attacks.

The disruption is felt across the environment, affecting Dgraph graph database (versions 25.3.0 and older), and exposing Sensitive files (e.g., password hashes, Kubernetes tokens), database contents.

In response, moved swiftly to contain the threat with measures like Isolate Dgraph admin ports from the public internet, restrict access to trusted IPs, and began remediation that includes Add restoreTenant to the security middleware (pending official patch).

The case underscores how Vulnerability disclosed; patch pending, teams are taking away lessons such as Critical need for rigorous authorization checks in administrative APIs, especially for commands with high-privilege operations like database restoration, and recommending next steps like Immediately isolate Dgraph admin ports from the public internet, restrict access to trusted IPs, and apply the official patch once released. Conduct a security audit of all administrative APIs for similar authorization gaps, with advisories going out to stakeholders covering Organizations using Dgraph should isolate admin ports and restrict access to trusted IPs until a patch is 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 high confidence (90%), supported by evidence indicating maximum-severity flaw (CVE-2026-34976) in Dgraph allows unauthenticated attackers. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism: Bypass User Account Control (T1548.002) with moderate to high confidence (80%), supported by evidence indicating bypass all security controls...missing authorization check in Dgraph’s GraphQL administration API. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating read sensitive server files, including password hashes and Kubernetes tokens. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (70%), supported by evidence indicating sSRF attacks...outbound requests to internal networks or cloud metadata endpoints. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating local File Theft such as By supplying file such as // paths, attackers can read sensitive server files and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating database Overwrite such as replace the entire database...exfiltrate sensitive files. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating exfiltrate sensitive files...data exfiltration such as Yes (via file theft or SSRF) and Transfer Data to Cloud Account (T1537) with moderate to high confidence (80%), supported by evidence indicating force Dgraph to fetch a malicious backup from a public cloud storage (e.g., Amazon S3). Under the Impact tactic, the analysis identified Data Destruction (T1485) with high confidence (90%), supported by evidence indicating database Overwrite such as replace the entire database with a malicious backup and Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating launch Server-Side Request Forgery (SSRF) attacks...exposing protected services. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (80%), supported by evidence indicating bypass all security controls...restoreTenant command excluded from security middleware. 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%)
Privilege Escalation
Abuse Elevation Control Mechanism: Bypass User Account Control (80%)
Credential Access
Unsecured Credentials: Credentials In Files (80%)
Lateral Movement
Exploitation of Remote Services (70%)
Collection
Data from Local System (90%)
Data from Information Repositories (90%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (80%)
Impact
Data Destruction (90%)
Resource Hijacking (70%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (80%)

Sources & References