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Analyze » Codean Labs » CODCOD1766105948

Incident Score: Analysis & Impact (CODCOD1766105948)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-2
Company Score Before Incident749 / 1000
Company Score After Incident747 / 1000
INCIDENT NUMBERCODCOD1766105948
Type of Cyber IncidentVulnerability
ATTACK VECTORManipulation of cryptographic signatures
DATA EXPOSEDEncrypted and signed messages (spoofed...
INCIDENT DATE21/05/2025
STATUSVulnerability disclosed, patches available

Key Highlights From The Incident Analysis

  • Timeline of Codean 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 Codean 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 Codean Labs breach identified under incident ID CODCOD1766105948.

The analysis begins with a detailed overview of Codean Labs's information like the linkedin page: https://www.linkedin.com/company/codean-labs, the number of followers: 179, the industry type: Computer and Network Security and the number of employees: 3 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 749 and after the incident was 747 with a difference of -2 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 Codean Labs and their customers.

OpenPGP.js recently reported "CVE-2025-47934: OpenPGP.js Signature Spoofing Vulnerability", a noteworthy cybersecurity incident.

A flaw in OpenPGP.js, a widely used JavaScript library for OpenPGP encryption, allows threat actors to spoof both signed and encrypted messages, undermining trust in public key cryptography.

The disruption is felt across the environment, affecting Applications using OpenPGP.js versions 5.0.1 through 5.11.2 and 6.0.0-alpha.0 through 6.1.0, and exposing Encrypted and signed messages (spoofed content).

In response, moved swiftly to contain the threat with measures like Patches released (versions 5.11.3 and 6.1.1), and began remediation that includes Upgrade to patched versions or implement manual verification workarounds, and stakeholders are being briefed through Advisory posted to OpenPGP.js GitHub repository.

The case underscores how Vulnerability disclosed, patches available, teams are taking away lessons such as Highlights critical risks in client-side cryptographic libraries, emphasizing the need for rigorous testing and validation of tools securing encrypted communications, and recommending next steps like Upgrade to OpenPGP.js versions 5.11.3 or 6.1.1 immediately, For users unable to upgrade, implement manual verification workarounds for inline-signed and signed-and-encrypted messages and Conduct thorough security reviews of cryptographic libraries in use, with advisories going out to stakeholders covering Users and developers of OpenPGP.js advised to upgrade or implement workarounds.

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 Credential Access tactic, the analysis identified Unsecured Credentials: Private Keys (T1552.004) with moderate to high confidence (70%), supported by evidence indicating flaws in `openpgp.verify` and `openpgp.decrypt` functions compromise cryptographic trust. Under the Defense Evasion tactic, the analysis identified Subvert Trust Controls: Code Signing (T1553.002) with high confidence (90%), supported by evidence indicating attackers reuse valid signatures to forge malicious content that appears authentic and Exploitation for Defense Evasion (T1211) with moderate to high confidence (80%), supported by evidence indicating cVE-2025-47934 enables spoofing of signed/encrypted messages. Under the Impact tactic, the analysis identified Network Denial of Service: Service Exhaustion Flood (T1498.002) with moderate confidence (50%), supported by evidence indicating loss of trust in cryptographic integrity may disrupt encrypted communications and Data Manipulation: Transmitted Data Manipulation (T1565.002) with high confidence (90%), supported by evidence indicating attackers manipulate message content while retaining valid signatures. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Credential Access
Unsecured Credentials: Private Keys (70%)
Defense Evasion
Subvert Trust Controls: Code Signing (90%)
Exploitation for Defense Evasion (80%)
Impact
Network Denial of Service: Service Exhaustion Flood (50%)
Data Manipulation: Transmitted Data Manipulation (90%)

Sources & References