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Analyze » NetLine » NET1779985820

Incident Score: Analysis & Impact (NET1779985820)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-62
Company Score Before Incident751 / 1000
Company Score After Incident689 / 1000
INCIDENT NUMBERNET1779985820
Type of Cyber IncidentBreach
ATTACK VECTORPublic-facing webserver
DATA EXPOSEDNames, Social Security numbers, Individual...
INCIDENT DATE19/04/2026
STATUSCompleted

Key Highlights From The Incident Analysis

  • Timeline of NetLine'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 NetLine 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 NetLine breach identified under incident ID NET1779985820.

The analysis begins with a detailed overview of NetLine's information like the linkedin page: https://www.linkedin.com/company/netline-corporation, the number of followers: 4782, the industry type: Marketing Services 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 751 and after the incident was 689 with a difference of -62 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 NetLine and their customers.

On 29 April 2026, NetLine Corp. disclosed Data Breach issues under the banner "NetLine Corp. Data Breach Exposing Sensitive Personal Information".

NetLine Corp., a Massachusetts-based content syndication provider for business marketers, reported a data breach involving unauthorized access to a public-facing webserver.

The disruption is felt across the environment, affecting Public-facing webserver, databases, and exposing Names, Social Security numbers, Individual Taxpayer Identification Numbers.

In response, moved swiftly to contain the threat with measures like Secured the affected system, and began remediation that includes Offering two years of free identity monitoring services through TransUnion, and stakeholders are being briefed through Reported to attorneys general offices of Maine and Vermont; advised impacted parties to monitor financial accounts and credit reports.

The case underscores how Completed, with advisories going out to stakeholders covering Monitor financial accounts and credit reports for signs of fraud.

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 unauthorized access to a public-facing webserver, and breached the server and queried databases without authorization. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating queried databases without authorization (implies access to credentials or misconfigurations). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating exposed data may have included names, Social Security numbers, Individual Taxpayer Identification Numbers and Data from Information Repositories (T1213) with high confidence (90%), with evidence including queried databases without authorization, and compromised databases containing PII. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to a public-facing webserver with data exposure (implies exfiltration) and Automated Exfiltration (T1020) with moderate confidence (60%), supported by evidence indicating queried databases without authorization (suggests automated data extraction). Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized access to databases (potential for data tampering) and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of destruction, but unauthorized access raises risk. 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%)
Credential Access
Unsecured Credentials (70%)
Collection
Data from Local System (90%)
Data from Information Repositories (90%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Automated Exfiltration (60%)
Impact
Data Manipulation: Stored Data Manipulation (40%)
Data Destruction (30%)

Sources & References