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Analyze » F5 » EURF5LLOCITMIN1774989406

Incident Score: Analysis & Impact (EURF5LLOCITMIN1774989406)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-8
Company Score Before Incident682 / 1000
Company Score After Incident674 / 1000
Company LinkView F5 Profile
INCIDENT NUMBEREURF5LLOCITMIN1774989406
Type of Cyber IncidentVulnerability
ATTACK VECTORphishing, exploited_vulnerability, malware, supply_chain_compromise
DATA EXPOSEDNA
INCIDENT DATE31/12/2024
STATUSongoing

Key Highlights From The Incident Analysis

  • Timeline of F5'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 F5 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 F5 breach identified under incident ID EURF5LLOCITMIN1774989406.

The analysis begins with a detailed overview of F5's information like the linkedin page: https://www.linkedin.com/company/f5, the number of followers: 394628, the industry type: IT Services and IT Consulting and the number of employees: 6164 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 682 and after the incident was 674 with a difference of -8 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 F5 and their customers.

Lloyds Banking Group recently reported "Cybersecurity Roundup: Major Incidents and Emerging Threats", a noteworthy cybersecurity incident.

Recent weeks have seen a surge in high-profile cybersecurity incidents, vulnerabilities, and state-linked attacks targeting governments, financial institutions, and critical infrastructure.

The disruption is felt across the environment, affecting mobile banking systems, treasury systems and cloud infrastructure.

In response, moved swiftly to contain the threat with measures like systems taken offline, and began remediation that includes patches applied and urgent warnings issued.

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 high confidence (90%), supported by evidence indicating cISA added Citrix NetScaler flaw (CVE-2026-3055) to Known Exploited Vulnerabilities, Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), supported by evidence indicating attackers hijacked Axios npm account to distribute RAT malware, Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (80%), supported by evidence indicating aPT TA446 deployed DarkSword exploit in phishing campaign targeting iPhone users, and Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (70%), supported by evidence indicating aITM phishing wave targeted TikTok Business accounts. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating darkSword exploit deployed in phishing campaign targeting iPhone users and User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating rAT malware distributed via compromised Axios npm account. Under the Persistence tactic, the analysis identified Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), supported by evidence indicating axios npm account hijacked to distribute RAT malware to developers. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating critical F5 BIG-IP AMP vulnerability under active attack. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (80%), supported by evidence indicating infinity Stealer malware leverages Nuitka Python payloads to evade detection and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating macOS malware uses ClickFix techniques to evade detection. Under the Credential Access tactic, the analysis identified Adversary-in-the-Middle (T1557) with high confidence (90%), supported by evidence indicating new AITM phishing wave targeted TikTok Business accounts and Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating personal email account of FBI Director Kash Patel compromised. Under the Discovery tactic, the analysis identified Account Discovery: Domain Account (T1087.002) with moderate to high confidence (70%), supported by evidence indicating state-sponsored groups targeted Southeast Asian government. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating lloyds Banking Group incident affected 500,000 mobile customers. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating rAT malware distributed via compromised npm account. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating qilin ransomware group claimed responsibility for breaching Dow Inc. and Exfiltration Over Alternative Protocol: Exfiltration Over Asymmetric Encrypted Non-C2 Protocol (T1048.002) with moderate to high confidence (70%), supported by evidence indicating shinyHunters asserted responsibility for hacking European Commission. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (80%), supported by evidence indicating qilin ransomware group claimed responsibility for breach, Defacement: Internal Defacement (T1491.001) with moderate confidence (60%), supported by evidence indicating european Commission confirmed cyberattack affecting cloud infrastructure, and Account Access Removal (T1531) with moderate to high confidence (70%), supported by evidence indicating dutch Ministry of Finance took treasury systems offline. 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%)
Supply Chain Compromise: Compromise Software Supply Chain (80%)
Phishing: Spearphishing Attachment (80%)
Phishing: Spearphishing Link (70%)
Execution
Exploitation for Client Execution (80%)
User Execution: Malicious File (70%)
Persistence
Supply Chain Compromise: Compromise Software Supply Chain (80%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Defense Evasion
Obfuscated Files or Information (80%)
Impair Defenses: Disable or Modify Tools (60%)
Credential Access
Adversary-in-the-Middle (90%)
Brute Force: Password Guessing (60%)
Discovery
Account Discovery: Domain Account (70%)
Collection
Data from Local System (80%)
Command and Control
Application Layer Protocol: Web Protocols (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Alternative Protocol: Exfiltration Over Asymmetric Encrypted Non-C2 Protocol (70%)
Impact
Data Encrypted for Impact (80%)
Defacement: Internal Defacement (60%)
Account Access Removal (70%)