'BigBear 2.0' PhaaS Targets Microsoft 365 Users with MFA Bypass

'BigBear 2.0' Phishing Service Bypasses MFA in Global M365 Campaign

HIGH
September 8, 2026
6m read
PhishingThreat ActorCloud Security

Impact Scope

People Affected

5,137 credential records stolen

Industries Affected

TechnologyEnergyHealthcareOther

Geographic Impact

IndiaFranceSaudi ArabiaNew ZealandGermany (global)

Related Entities

Threat Actors

General Boss

Organizations

Products & Tech

Other

BigBear 2.0Evilginx2Vultr

Full Report

Executive Summary

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.


Threat Overview

'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.

Technical Analysis

The 'BigBear 2.0' framework includes several advanced features:

  • Custom Evilginx2: The core of the service is a modified version of Evilginx2.
  • MFA Bypass: It specializes in session cookie theft to bypass all but the most advanced forms of MFA.
  • FIDO2/WebAuthn Disablement: The framework uses custom JavaScript injections to attempt to disable or downgrade modern, phishing-resistant MFA methods.
  • Residential Proxies: It uses geo-matched residential proxy pools to make login attempts appear legitimate and bypass bot detection and location-based Conditional Access policies.
  • Infrastructure: The operation was observed using 42 VPS nodes, primarily hosted at Vultr.

MITRE ATT&CK Techniques Observed/Inferred:


Impact Assessment

CloudSEK's investigation into the operator's panel revealed the scale of the operation:

  • 5,137 credential records exfiltrated.
  • 4,148 session cookies stolen.
  • 474 complete MFA-bypassed authentications.
  • Victims from 3,331 unique IP addresses across more than 40 countries.

The impact of a successful attack is severe:

  • Full Account Takeover: Attackers gain complete access to the victim's M365 account, including email, files, and connected applications.
  • Supply Chain Risk: By targeting MSPs, attackers can potentially pivot from a compromised MSP account to attack their downstream clients.
  • Business Email Compromise (BEC): The compromised account can be used to launch convincing BEC attacks, leading to financial fraud.

IOCs — Directly from Articles

No specific IOCs like domains or hashes were provided in the source articles.

Cyber Observables — Hunting Hints

Security teams should hunt for signs of AiTM phishing and session hijacking:

Type
log_source
Value
Microsoft Entra ID Sign-in logs
Description
Look for sign-ins with MFA requirement satisfied by claim in the token where the IP address, location, or device information is anomalous. This indicates a replayed session token.
Type
network_traffic_pattern
Value
Logins from Vultr ASN
Description
The campaign used Vultr hosting. While not definitive, logins from Vultr's ASN (AS20473) to non-admin accounts should be scrutinized.
Type
url_pattern
Value
Lookalike domains
Description
Phishing links will use domains that are visually similar to microsoft.com, office.com, or the target company's domain.

Detection & Response

  1. Monitor Sign-in Logs: Continuously monitor Microsoft Entra ID (Azure AD) sign-in logs for suspicious activity. Pay close attention to the MFA detail and Conditional Access policies applied to a login. A successful login that bypasses an expected policy is a major red flag.
  2. Token Replay Detection: Look for impossible travel scenarios or session logins from multiple, disparate locations in a short period. Microsoft's Identity Protection has built-in capabilities for this.
  3. User-Reported Phishing: Implement a robust process for users to report suspicious emails. Analyze these reports quickly to identify phishing domains and block them at the network perimeter.

Mitigation

  1. Phishing-Resistant MFA: The most effective mitigation is to deploy phishing-resistant MFA, such as FIDO2 security keys. These methods are not vulnerable to AiTM attacks because they bind the session to the hardware and origin, preventing token replay.
  2. Conditional Access Policies: Strengthen Conditional Access policies to block logins from known malicious or anonymizing infrastructure (like certain data center IP ranges) and to enforce device compliance. A compliant, managed device is harder to compromise.
  3. User Training: Train users to be vigilant about login prompts and to inspect URLs carefully before entering credentials. They should be suspicious of any unexpected requests to re-authenticate.
  4. Email Security: Use advanced email security solutions that can detect and block phishing links, including those using lookalike domains and other evasion techniques.

Timeline of Events

1
June 1, 2026
The 'BigBear 2.0' phishing campaign begins.
2
September 8, 2026
This article was published

MITRE ATT&CK Mitigations

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.

Use email and web security gateways to analyze and block links to known phishing sites and newly registered domains.

D3FEND Defensive Countermeasures

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.

Timeline of Events

1
June 1, 2026

The 'BigBear 2.0' phishing campaign begins.

Sources & References

Tracking BigBear 2.0 Evilginx2 Phishing Campaign - CloudSEK
CloudSEK (cloudsek.com) September 7, 2026

Article Author

Jason Gomes

Jason Gomes

• Cybersecurity Practitioner

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.

Threat Intelligence & AnalysisSecurity Orchestration (SOAR/XSOAR)Incident Response & Digital ForensicsSecurity Operations Center (SOC)SIEM & Security AnalyticsCyber Fusion & Threat SharingSecurity Automation & IntegrationManaged Detection & Response (MDR)

Editorial Standards & Analyst Review

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.

Tags

PhishingPhaaSMFA BypassAdversary-in-the-MiddleAiTMEvilginx2Microsoft 365BigBear 2.0

📢 Share This Article

Help others stay informed about cybersecurity threats

🎯 MITRE ATT&CK Mapped

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.

🧠 Enriched & Analyzed

Observables and indicators of compromise (IOCs) have been extracted and cataloged. Risk has been assessed and correlated with known threat actors and historical campaigns.

🛡️ Actionable Guidance

Detection rules, incident response steps, and D3FEND-aligned mitigation strategies are included so your team can act on this intelligence immediately.

🔗 STIX Visualizer

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 Generator

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.