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Analyze » Napoleon Perdis Cosmetics » DEBMMJNAP1781130260

Incident Score: Analysis & Impact (DEBMMJNAP1781130260)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-99
Company Score Before Incident753 / 1000
Company Score After Incident654 / 1000
INCIDENT NUMBERDEBMMJNAP1781130260
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSED196,800 customer records and 1.2...
INCIDENT DATE31/05/2026
STATUSPending verification

Key Highlights From The Incident Analysis

  • Timeline of Napoleon Perdis Cosmetics'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 Napoleon Perdis Cosmetics 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 Napoleon Perdis Cosmetics breach identified under incident ID DEBMMJNAP1781130260.

The analysis begins with a detailed overview of Napoleon Perdis Cosmetics's information like the linkedin page: https://www.linkedin.com/company/napoleon-perdis-cosmetics, the number of followers: 9432, the industry type: Personal Care Product Manufacturing and the number of employees: 196 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 753 and after the incident was 654 with a difference of -99 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 Napoleon Perdis Cosmetics and their customers.

DeBra’s recently reported "Australian Lingerie Retailer DeBra’s Allegedly Breached by Threat Actor 2019", a noteworthy cybersecurity incident.

An Australian women’s lingerie and swimwear retailer, DeBra’s, is reportedly the latest victim of a data breach, with threat actor 2019 claiming to have exfiltrated sensitive customer and order records.

The disruption is felt across the environment, and exposing 196,800 customer records and 1.2 million order records, with nearly 1,396,800 (196,800 customer records + 1.2 million order records) records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Pending verification.

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 breach of Australian lingerie retailer via unknown attack vector and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating threat actor 2019 targeted multiple Australian organizations. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating 1.2 million order records exfiltrated, including transaction histories and Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating loyalty program details compromised, suggesting credential access. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 196,800 customer records and 1.2 million order records exfiltrated and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating transaction histories, loyalty program details, and order information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating threat actor 2019 claimed theft of 1.39M records on hacking forum and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating stolen data made available for download to facilitate fraud. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on malware or data destruction, but breach implies impact and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating potential for financial fraud and scams using stolen data. 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: Credentials In Files (70%)
Credentials from Password Stores (50%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (60%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References