Instagram Breach Incident Score: Analysis & Impact (FACSNAINSROB1766549037)

In this Rankiteo incident briefing, we review the Instagram breach identified under incident ID FACSNAINSROB1766549037.

The analysis begins with a detailed overview of Instagram's information like the linkedin page: https://www.linkedin.com/company/instagram, the number of followers: 1398977, the industry type: Software Development and the number of employees: 47052 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 684 and after the incident was 618 with a difference of -66 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 Instagram and their customers.

A newly reported cybersecurity incident, "Exposure of 184 Million Unique Login Credentials via Unsecured Database", has drawn attention.

A cybersecurity researcher discovered an unsecured database containing over 184 million unique login credentials, including emails, passwords, and authorization URLs.

The disruption is felt across the environment, affecting Infected devices (browsers, email clients, messaging apps, crypto wallets), and exposing 184 million unique login credentials (emails, passwords, authorization URLs), with nearly 184 million records at risk.

In response, moved swiftly to contain the threat with measures like Database removed from public view, and stakeholders are being briefed through Public advisory on protective measures.

The case underscores how Database secured, but infostealer threat remains ongoing, teams are taking away lessons such as Infostealers pose a growing threat by silently harvesting credentials and sensitive data from infected devices. The scale of exposure highlights the need for proactive monitoring, password hygiene, and malware protection, and recommending next steps like Change passwords regularly and avoid reuse across accounts, Enable two-factor authentication (2FA) and Audit and clean email inboxes of sensitive documents, with advisories going out to stakeholders covering Service providers and users urged to enhance security measures against infostealers.

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.

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 (T1566) with high confidence (90%), with evidence including infostealers spread via phishing emails, and malicious websites or cracked software and Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating malicious websites as attack vector. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with high confidence (90%), supported by evidence indicating infostealers harvest data from browsers, email clients, messaging apps, Credentials from Password Stores (T1555) with high confidence (95%), supported by evidence indicating 184M unique login credentials (emails, passwords, auth URLs) exposed, Steal Web Session Cookie (T1539) with moderate to high confidence (80%), supported by evidence indicating infostealers capture autofill data, cookies, and Input Capture: Keylogging (T1056.001) with moderate to high confidence (80%), supported by evidence indicating infostealers capture keystrokes. Under the Collection tactic, the analysis identified Screen Capture (T1113) with moderate to high confidence (80%), supported by evidence indicating infostealers capture screenshots and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating data harvested from browsers, email clients, crypto wallets. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data exfiltration via infostealers, and 184M credentials exposed and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating unsecured database containing stolen credentials. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating potential identity theft risk and Account Access Removal (T1531) with moderate confidence (50%), supported by evidence indicating account takeovers enabled by stolen credentials. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating infostealers designed to silently extract credentials and Hide Artifacts: Hidden Window (T1564.003) with moderate to high confidence (70%), supported by evidence indicating infostealers operate silently on infected devices. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.