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Analyze » Akamai Technologies » UNIAKA1773995078

Incident Score: Analysis & Impact (UNIAKA1773995078)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-18
Company Score Before Incident788 / 1000
Company Score After Incident770 / 1000
INCIDENT NUMBERUNIAKA1773995078
Type of Cyber IncidentCyber Attack
ATTACK VECTORIoT Botnets
DATA EXPOSEDNA
INCIDENT DATE30/11/2025
STATUSOngoing (takendown operation completed)

Key Highlights From The Incident Analysis

  • Timeline of Akamai Technologies's Cyber Attack 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 Akamai Technologies 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 Akamai Technologies breach identified under incident ID UNIAKA1773995078.

The analysis begins with a detailed overview of Akamai Technologies's information like the linkedin page: https://www.linkedin.com/company/akamai-technologies, the number of followers: 506898, the industry type: Technology, Information and Internet and the number of employees: 10327 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 788 and after the incident was 770 with a difference of -18 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 Akamai Technologies and their customers.

U.S. Department of Defense (DoD) recently reported "Global Law Enforcement Disrupts Four Major IoT Botnets Behind Record-Breaking DDoS Attacks", a noteworthy cybersecurity incident.

Authorities from the United States, Germany, and Canada have dismantled the Command and Control (C2) infrastructure of four prolific botnets (Aisuru, KimWolf, JackSkid, and Mossad) responsible for infecting millions of Internet of Things (IoT) devices and launching devastating...

The disruption is felt across the environment, affecting IoT devices (webcams, DVRs, WiFi routers), U.S. Department of Defense (DoD) networks, telecommunications companies, ISP services, cloud-based mitigation platforms, plus an estimated financial loss of Tens of thousands of dollars in losses and remediation costs.

In response, moved swiftly to contain the threat with measures like Dismantling of C2 infrastructure (virtual servers, domains), and began remediation that includes Disruption of botnet communications, prevention of further infections.

The case underscores how Ongoing (takendown operation completed).

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 exploitation of vulnerable IoT devices (webcams, DVRs, WiFi routers) and Exploitation for Client Execution (T1203) with moderate confidence (50%), supported by evidence indicating ioT devices infected to form botnets (Aisuru, KimWolf, JackSkid, Mossad). Under the Execution tactic, the analysis identified User Execution: Malicious Link (T1204.001) with lower confidence (40%), supported by evidence indicating botnets issued over 316,000 DDoS attack commands and System Services: Service Execution (T1569.002) with moderate to high confidence (70%), supported by evidence indicating ioT devices ensnared to launch DDoS attacks (31.4 Tbps peak). Under the Persistence tactic, the analysis identified Create or Modify System Process: Windows Service (T1543.003) with moderate confidence (50%), supported by evidence indicating botnets maintained control over 3M+ IoT devices. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), supported by evidence indicating c2 infrastructure (virtual servers, domains) used to orchestrate attacks and Encrypted Channel: Asymmetric Cryptography (T1573.002) with moderate confidence (60%), supported by evidence indicating botnets likely used encrypted C2 channels to evade detection. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (100%), supported by evidence indicating 31.4 Tbps DDoS attack (record-breaking), 200M requests/sec and Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate to high confidence (80%), supported by evidence indicating attacks crippled ISP services, cloud mitigation platforms. Under the Resource Development tactic, the analysis identified Acquire Infrastructure: Domains (T1583.001) with moderate to high confidence (80%), supported by evidence indicating botnets used virtual servers, domains for C2 infrastructure and Stage Capabilities: Upload Malware (T1608.001) with moderate to high confidence (70%), supported by evidence indicating cybercrime-as-a-service model sold botnet access to criminals. 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%)
Exploitation for Client Execution (50%)
Execution
User Execution: Malicious Link (40%)
System Services: Service Execution (70%)
Persistence
Create or Modify System Process: Windows Service (50%)
Command and Control
Application Layer Protocol: Web Protocols (90%)
Encrypted Channel: Asymmetric Cryptography (60%)
Impact
Network Denial of Service (100%)
Endpoint Denial of Service: Application or System Exploitation (80%)
Resource Development
Acquire Infrastructure: Domains (80%)
Stage Capabilities: Upload Malware (70%)

Sources & References