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Analyze » ACI Logistics Limited » ACI1774708213

Incident Score: Analysis & Impact (ACI1774708213)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-105
Company Score Before Incident780 / 1000
Company Score After Incident675 / 1000
INCIDENT NUMBERACI1774708213
Type of Cyber IncidentRansomware
ATTACK VECTORNA
DATA EXPOSEDCustomer identities, transaction details, names,...
INCIDENT DATE31/07/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of ACI Logistics Limited's Ransomware 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 ACI Logistics Limited 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 ACI Logistics Limited breach identified under incident ID ACI1774708213.

The analysis begins with a detailed overview of ACI Logistics Limited's information like the linkedin page: https://www.linkedin.com/company/acill-shwapno, the number of followers: 161046, the industry type: Retail and the number of employees: 1587 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 780 and after the incident was 675 with a difference of -105 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 ACI Logistics Limited and their customers.

Shwapno recently reported "Shwapno Retail Chain Data Breach and Ransom Demand", a noteworthy cybersecurity incident.

Popular Bangladeshi retail chain Shwapno disclosed a 2023 data breach after hackers demanded $1.5 million to prevent the release of stolen customer information.

The disruption is felt across the environment, affecting Customer database, and exposing Customer identities, transaction details, names, phone numbers, purchase histories.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Secured database, and stakeholders are being briefed through Public disclosure, collaboration with authorities.

The case underscores how Ongoing.

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 moderate confidence (60%), supported by evidence indicating system access remained intact, though attackers may have exfiltrated data and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating subsidiary of ACI Limited, operates 812 outlets. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating customer identities and transaction details compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, phone numbers, purchase histories, transaction details exfiltrated. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating hackers demanded $1.5M to prevent release of stolen data and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating portions of compromised data appeared on social media. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (40%), supported by evidence indicating incident type labeled as Ransomware and Financial Theft (T1657) with high confidence (90%), supported by evidence indicating hackers demanded $1.5 million ransom for data. Under the Defense Evasion tactic, the analysis identified Disabling Security Tools (T1089) with moderate confidence (50%), supported by evidence indicating company secured its database post-breach. 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 (60%)
Trusted Relationship (50%)
Credential Access
Unsecured Credentials (70%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Encrypted for Impact (40%)
Financial Theft (90%)
Defense Evasion
Disabling Security Tools (50%)

Sources & References