5,137 credential records stolen
Researchers at CloudSEK have uncovered a large-scale, sophisticated Phishing-as-a-Service (PhaaS) operation named 'BigBear 2.0'. Active since June 2026, the service provides threat actors with a toolkit to conduct adversary-in-the-middle (AiTM) attacks specifically designed to bypass multi-factor authentication (MFA) for Microsoft 365 accounts. The framework is a customized version of the notorious Evilginx2 toolkit. The operation, allegedly run by an individual known as 'General Boss', has already resulted in the theft of thousands of credential records and session cookies from victims in over 40 countries. The primary targets appear to be IT service providers and MSPs, suggesting a strategic focus on enabling downstream supply chain attacks.
'BigBear 2.0' operates as a turnkey PhaaS platform. The operator, 'General Boss', manages the infrastructure and leases access to at least five affiliate operators. These affiliates launch phishing campaigns, and the stolen credentials and session cookies are delivered to them in real-time via Telegram bots.
The attack employs an AiTM technique. The victim receives a phishing email and clicks a link to a malicious server that proxies the legitimate Microsoft login page. The victim enters their credentials and completes their MFA challenge on what appears to be the real site. However, because all traffic is passing through the attacker's server, the framework is able to intercept the username, password, and, most importantly, the session cookie that is generated after the successful MFA-authenticated login.
The 'BigBear 2.0' framework includes several advanced features:
MITRE ATT&CK Techniques Observed/Inferred:
T1566.002 - Spearphishing LinkT1539 - Steal Web Session Cookie, T1606.002 - Steal Application Access TokenT1078 - Valid Accounts, T1611 - Adversary-in-the-MiddleT1071.001 - Web ProtocolsCloudSEK's investigation into the operator's panel revealed the scale of the operation:
The impact of a successful attack is severe:
No specific IOCs like domains or hashes were provided in the source articles.
Security teams should hunt for signs of AiTM phishing and session hijacking:
MFA requirement satisfied by claim in the token where the IP address, location, or device information is anomalous. This indicates a replayed session token.microsoft.com, office.com, or the target company's domain.MFA detail and Conditional Access policies applied to a login. A successful login that bypasses an expected policy is a major red flag.Deploy phishing-resistant MFA methods like FIDO2 security keys that are immune to adversary-in-the-middle (AiTM) attacks.
Mapped D3FEND Techniques:
Train users to identify phishing links, verify URLs before entering credentials, and be suspicious of unexpected login prompts.
The single most effective technical countermeasure against 'BigBear 2.0' and other AiTM phishing attacks is the adoption of phishing-resistant Multi-Factor Authentication. Organizations must prioritize migrating users away from phishable MFA methods like SMS, voice calls, and simple push notifications. Instead, deploy FIDO2-based authenticators (e.g., YubiKeys, Titan keys) or platform authenticators like Windows Hello for Business. These methods create a cryptographic binding between the user's login, the device they are using, and the true origin of the service (e.g., login.microsoft.com). This makes it impossible for an attacker to capture and replay a session cookie from their proxy server, as the authentication challenge would fail. This mitigation directly neutralizes the core mechanism of the Evilginx2 framework.
To detect compromised sessions, security teams must perform continuous analysis of web session activity within Microsoft 365. Configure SIEM or a tool like Microsoft Sentinel to ingest Entra ID sign-in logs and Unified Audit Logs. Create detection rules that correlate a successful sign-in with its subsequent activity. Specifically, look for sessions where the authentication method is MFA requirement satisfied by claim in the token and the sign-in IP address originates from a data center or proxy ASN (like Vultr's AS20473). Also, alert on sessions that exhibit anomalous properties like a mismatched User-Agent string compared to the user's history, or impossible travel scenarios. This detective control is crucial for identifying when a stolen session cookie is being used.
To prevent users from reaching the initial phishing site, organizations should leverage proactive DNS Denylisting. This can be implemented through an enterprise DNS security solution (like Cisco Umbrella or Quad9) or an email security gateway. Subscribe to high-quality threat intelligence feeds that provide lists of known phishing and malicious domains. These systems will block DNS resolution for any domain on the denylist, preventing the user's browser from ever connecting to the Evilginx2 proxy server. This is a critical preventative control that can stop the attack chain at the earliest possible stage, before the user has a chance to enter their credentials.
The 'BigBear 2.0' phishing campaign begins.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
CyberNetSec.io uses automation to assist source monitoring, deduplication, observable extraction, and structured intelligence generation. Published analysis follows human-defined editorial standards and adds defensive context including MITRE ATT&CK, D3FEND, STIX, and Sigma where applicable. Read our editorial policy.
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Every tactic, technique, and sub-technique used in this threat has been identified and mapped to the MITRE ATT&CK framework for consistent, actionable threat language.
Observables and indicators of compromise (IOCs) have been extracted and cataloged. Risk has been assessed and correlated with known threat actors and historical campaigns.
Detection rules, incident response steps, and D3FEND-aligned mitigation strategies are included so your team can act on this intelligence immediately.
Structured threat data is packaged as a STIX 2.1 bundle and can be visualized as an interactive graph — relationships between actors, malware, techniques, and indicators.
Sigma detection rules are derived from the threat techniques in this article and can be converted for deployment across any major SIEM or EDR platform.