Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » mJobTime Corporation » MJO1769418142

Incident Score: Analysis & Impact (MJO1769418142)

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 Incident750 / 1000
Company Score After Incident748 / 1000
INCIDENT NUMBERMJO1769418142
Type of Cyber IncidentVulnerability
ATTACK VECTORHTTP POST requests to /Default.aspx/update_profile_Server
DATA EXPOSEDSensitive project and payroll data
INCIDENT DATE31/12/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of mJobTime Corporation'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 mJobTime Corporation 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 mJobTime Corporation breach identified under incident ID MJO1769418142.

The analysis begins with a detailed overview of mJobTime Corporation's information like the linkedin page: https://www.linkedin.com/company/mjobtime, the number of followers: 693, the industry type: Software Development and the number of employees: 14 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 748 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 mJobTime Corporation and their customers.

Mjobtime recently reported "Cyberattackers Exploit SQL Injection Flaw in Mjobtime Construction Software", a noteworthy cybersecurity incident.

Attackers are targeting construction firms by exploiting a critical vulnerability in Mjobtime, a time-tracking application widely used in the industry.

The disruption is felt across the environment, affecting Mjobtime version 15.7.2, MSSQL database, Windows host, and exposing Sensitive project and payroll data.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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%), with evidence including exploiting a critical vulnerability in Mjobtime, and hTTP POST requests to /Default.aspx/update_profile_Server. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: Windows Command Shell (T1059.003) with high confidence (90%), with evidence including xp_cmdshell stored procedure to gain remote command execution, and run reconnaissance commands (net user). Under the Persistence tactic, the analysis identified Server Software Component: SQL Stored Procedures (T1505.001) with moderate to high confidence (80%), supported by evidence indicating xp_cmdshell stored procedure leveraged for remote command execution. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating remote command execution with the permissions of the service account. Under the Defense Evasion tactic, the analysis identified Bypass User Account Control (T1088) with moderate confidence (60%), supported by evidence indicating xp_cmdshell execution with service account permissions and Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating improper input validation allowing SQL injection. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating reconnaissance commands (net user) executed via xp_cmdshell. Under the Discovery tactic, the analysis identified Account Discovery: Local Account (T1087.001) with moderate to high confidence (80%), supported by evidence indicating attackers used xp_cmdshell to run reconnaissance commands (net user) and Remote System Discovery (T1018) with moderate to high confidence (70%), supported by evidence indicating test connectivity via oastify.com. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (70%), supported by evidence indicating creates a foothold for lateral movement within the network. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating exposes sensitive project and payroll data. Under the Command and Control tactic, the analysis identified Ingress Tool Transfer (T1105) with moderate to high confidence (70%), supported by evidence indicating attempted to fetch remote payloads using wget and curl and Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating crafted HTTP POST requests to exploit SQL injection. 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%)
Execution
Command and Scripting Interpreter: Windows Command Shell (90%)
Persistence
Server Software Component: SQL Stored Procedures (80%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Defense Evasion
Bypass User Account Control (60%)
Exploit Public-Facing Application (70%)
Credential Access
Credentials from Password Stores (50%)
Discovery
Account Discovery: Local Account (80%)
Remote System Discovery (70%)
Lateral Movement
Exploitation of Remote Services (70%)
Collection
Data from Information Repositories (80%)
Command and Control
Ingress Tool Transfer (70%)
Application Layer Protocol: Web Protocols (80%)

Sources & References