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Analyze » Williams Plumbing / Williams Civil Construction » WIL1768357793

Incident Score: Analysis & Impact (WIL1768357793)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-33
Company Score Before Incident821 / 1000
Company Score After Incident788 / 1000
INCIDENT NUMBERWIL1768357793
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonally identifiable information (names, Social...
INCIDENT DATE17/05/2025
STATUSConcluded (review process completed on 2025-10-21)

Key Highlights From The Incident Analysis

  • Timeline of Williams Plumbing / Williams Civil Construction'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 Williams Plumbing / Williams Civil Construction 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 Williams Plumbing / Williams Civil Construction breach identified under incident ID WIL1768357793.

The analysis begins with a detailed overview of Williams Plumbing / Williams Civil Construction's information like the linkedin page: https://www.linkedin.com/company/williams-companies, the number of followers: 1772, the industry type: Construction and the number of employees: 153 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 821 and after the incident was 788 with a difference of -33 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 Williams Plumbing / Williams Civil Construction and their customers.

On 12 January 2026, William C. Smith and Company disclosed Data Breach issues under the banner "Unauthorized Access and Data Breach at William C. Smith and Company".

An unknown actor gained unauthorized access to certain company systems between May 5, 2025, and May 18, 2025, accessing and exfiltrating files containing personally identifiable information.

The disruption is felt across the environment, and exposing Personally identifiable information (names, Social Security numbers).

In response, moved swiftly to contain the threat with measures like Steps taken to contain the breach and secure systems, and stakeholders are being briefed through Written notice to consumers and disclosure to state attorneys general.

The case underscores how Concluded (review process completed on 2025-10-21), and recommending next steps like Monitor account statements, obtain free credit reports, place fraud alerts or credit freezes, enroll in complimentary credit monitoring and identity restoration services, with advisories going out to stakeholders covering Guidance on steps to protect from identity theft or fraud, including monitoring accounts, obtaining credit reports, and placing fraud alerts or credit freezes.

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 confidence (60%), supported by evidence indicating unauthorized access to its network following suspicious activity and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating infiltrated company systems (attack vector unspecified). Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating accessing and exfiltrating files containing PII and OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating social Security numbers exposed (implies credential harvesting). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating accessing and exfiltrating files containing PII and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating files containing names and Social Security numbers. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration confirmed by third-party investigation and Exfiltration Over Web Service (T1567) with moderate confidence (50%), supported by evidence indicating unknown threat actor exfiltrated files (method unspecified). Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating pII exposure may enable identity theft or fraud and Data Destruction (T1485) with lower confidence (20%), supported by evidence indicating no evidence of data destruction, but included due to breach impact. 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 (60%)
Exploit Public-Facing Application (40%)
Credential Access
Unsecured Credentials (50%)
OS Credential Dumping (40%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service (50%)
Impact
Data Manipulation: Stored Data Manipulation (30%)
Data Destruction (20%)

Sources & References