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Analyze » Vercel » VER1776623025

Incident Score: Analysis & Impact (VER1776623025)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-71
Company Score Before Incident677 / 1000
Company Score After Incident606 / 1000
INCIDENT NUMBERVER1776623025
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDAccess keys, source code, database...
INCIDENT DATE18/04/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Vercel's Breach 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 Vercel 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 Vercel breach identified under incident ID VER1776623025.

The analysis begins with a detailed overview of Vercel's information like the linkedin page: https://www.linkedin.com/company/vercel, the number of followers: 200744, the industry type: Software Development and the number of employees: 873 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 677 and after the incident was 606 with a difference of -71 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 Vercel and their customers.

Vercel recently reported "Vercel Security Breach Amid Hacker Extortion Claims", a noteworthy cybersecurity incident.

Vercel, a leading cloud development platform specializing in JavaScript frameworks like Next.js, confirmed a security incident involving unauthorized access to its internal systems.

The disruption is felt across the environment, affecting Internal systems, and exposing Access keys, source code, database records, internal deployment credentials (NPM and GitHub tokens), employee records (names, Vercel email addresses, account statuses, activity timestamps), with nearly 580 employee records records at risk.

In response, teams activated the incident response plan, and began remediation that includes Advising impacted customers to review environment variables, utilize sensitive variable feature, and rotate secrets, and stakeholders are being briefed through Security bulletin, customer advisories.

The case underscores how Ongoing, and recommending next steps like Review environment variables, utilize sensitive variable feature, rotate secrets if necessary, with advisories going out to stakeholders covering Review environment variables, utilize sensitive variable feature, rotate secrets if necessary.

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 Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including unauthorized access to its internal systems, and internal deployment credentials (NPM and GitHub tokens) and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating vercel, a leading cloud development platform. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating access keys, NPM and GitHub tokens compromised and OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating internal deployment credentials, database records exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating source code, database records, employee records compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating internal enterprise dashboard screenshot shared as proof. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed, 580 employee records exposed and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating stolen data offered for sale on hacking forum. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating ransom demand of $2 million, extortion motivation and Data Manipulation (T1565) with lower confidence (40%), supported by evidence indicating source code and database records compromised. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating unauthorized access via internal credentials and Hide Artifacts (T1564) with moderate confidence (60%), supported by evidence indicating shinyHunters denied involvement, obscuring attribution. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (80%)
Exploit Public-Facing Application (50%)
Credential Access
Steal Application Access Token (90%)
OS Credential Dumping (70%)
Collection
Data from Local System (80%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Encrypted for Impact (30%)
Data Manipulation (40%)
Defense Evasion
Valid Accounts (80%)
Hide Artifacts (60%)

Sources & References