Incident Score: Analysis & Impact (APP1778848319)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Apple'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 Apple 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 Apple breach identified under incident ID APP1778848319.
The analysis begins with a detailed overview of Apple's information like the linkedin page: https://www.linkedin.com/company/apple, the number of followers: 18033868, the industry type: Computers and Electronics Manufacturing and the number of employees: 173021 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 773 and after the incident was 766 with a difference of -7 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 Apple and their customers.
Apple iPhone users (primarily in the U.S.) recently reported "Underground Telegram Marketplace Exploits Stolen iPhones via Phishing and Unlocking Tools", a noteworthy cybersecurity incident.
Infoblox researchers uncovered a thriving Telegram-based black market specializing in tools and infrastructure to unlock and monetize stolen iPhones.
The disruption is felt across the environment, affecting Stolen iPhones (primarily U.S.-based), phishing domains, unlocking tools, and exposing Apple IDs, passcodes, device serial numbers, activation countries, iCloud-linked devices.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing (researchers identified over 10,000 domains tied to phishing kits), teams are taking away lessons such as Growing sophistication of underground markets in bypassing device security, increased use of AI in social engineering attacks, need for enhanced user awareness and DNS-based threat detection, and recommending next steps like Improve user education on smishing and phishing risks, Enhance Apple *Activation Lock* security to prevent bypass tools and Monitor and block phishing domains tied to unlocking tools, with advisories going out to stakeholders covering Apple users should be cautious of smishing texts and fake *Find My* pages, enable two-factor authentication, and avoid sharing passcodes.
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 Phishing: Spearphishing Link (T1566.002) with high confidence (90%), with evidence including smishing text linking to a fake Apple *Find My* page, and aI voice calling software to enhance social engineering and Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.002) with moderate confidence (50%), supported by evidence indicating windows-based unlocking tools sold on Telegram for bypassing *Activation Lock*. Under the Execution tactic, the analysis identified User Execution: Malicious Link (T1204.001) with moderate to high confidence (80%), supported by evidence indicating victim of phone theft received a smishing text linking to a fake Apple *Find My* page and Command and Scripting Interpreter: Visual Basic (T1059.005) with moderate confidence (60%), supported by evidence indicating windows-based unlocking tools automate jailbreaking and device details extraction. Under the Credential Access tactic, the analysis identified Credentials from Password Stores: Keychain (T1555.001) with moderate to high confidence (70%), supported by evidence indicating tools extract Apple IDs, passcodes, and iCloud-linked devices and Brute Force: Password Guessing (T1110.001) with moderate confidence (50%), supported by evidence indicating bots cross-reference credentials to craft targeted phishing campaigns. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (80%), supported by evidence indicating *FMI OFF* (Find My iPhone Off) services bypass *Activation Lock*, Valid Accounts: Local Accounts (T1078.003) with moderate to high confidence (70%), supported by evidence indicating thieves use stolen passcodes to unlock devices, and Subvert Trust Controls: Code Signing (T1553.002) with moderate confidence (60%), supported by evidence indicating unlocking tools falsely advertise zero-day vulnerabilities. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating tools extract device serial numbers, activation countries, Apple IDs and Automated Collection (T1119) with moderate to high confidence (70%), supported by evidence indicating iCloud Webkit phishing kits automate data extraction. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration via phishing kits and unlocking tools and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating cross-referencing credentials and iCloud-linked devices. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating jailbreaking and unlocking tools may corrupt device data and Defacement: Internal Defacement (T1491.001) with moderate confidence (50%), supported by evidence indicating fake Apple *Find My* pages mimic legitimate interfaces. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Apple Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/apple/incident/APP1778848319
- Apple CyberSecurity Rating page: https://www.rankiteo.com/company/apple
- Apple Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/app1778848319-apple-cyber-attack-january-2025/
- Apple CyberSecurity Score History: https://www.rankiteo.com/company/apple/history
- Apple CyberSecurity Incident Source: https://www.helpnetsecurity.com/2026/05/15/stolen-iphone-unlocking-tools-telegram-groups/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf