Babar
Table of Contents
Overview
Trojan:Win32/Babar is a highly sophisticated, nation-state cyber-espionage implant attributed by international intelligence agencies and cybersecurity researchers to the 'Animal Farm' Advanced Persistent Threat (APT) group (extensively linked in Canadian Communications Security Establishment / CSEC classified slides published by Edward Snowden and Le Monde to the French Directorate-General for External Security / DGSE). First publicly analyzed in February 2015 by Citizen Lab and Cyphort, Babar was named after the beloved French cartoon elephant character, mirroring other malware in the campaign named after cartoon animals (such as Casper, Dino, and Bunny). Babar is an advanced surveillance weapon engineered for precise corporate and geopolitical intelligence collection. It features real-time audio interception capabilities targeting voice-over-IP (VoIP) conversations (specifically Skype, MSN, and Yahoo Messenger), persistent keystroke logging, desktop screen grabbing, clipboard harvesting, and targeted document exfiltration. Babar executes via sophisticated process injection into internet-facing applications (such as browsers and communication software), communicating with C2 servers using custom HTTP encryption to evade perimeter DPI inspection.
Known aliases
Threat reports may refer to this family under multiple names:
Threat Actor Attribution
Attribution is probabilistic, not a science. Each link below states its confidence level and the evidence behind it.
- Animal Farm APT High confidence
Basis: - French DGSE (CSEC / Le Monde Attribution) High confidence
Basis:
Family Pedigree & Lineage
Malware authors regularly fork and iterate upon existing codebases. Observed upstream lineage and downstream variants for this family include:
Derived From / Upstream Ancestry: Bunny
Known Derivatives & Downstream Variants: Babar Espionage Core · Casper Dropper · Dino Modular Implant
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
| Technique | Name | Tactic | Official Spec |
|---|---|---|---|
T1123 | Audio Capture | collection | ATT&CK ↗ |
T1056.001 | Keylogging | collection | ATT&CK ↗ |
T1113 | Screen Capture | collection | ATT&CK ↗ |
T1055.001 | Dynamic-link Library Injection | defense-evasion | ATT&CK ↗ |
T1071.001 | Web Protocols | command-and-control | ATT&CK ↗ |
T1005 | Data from Local System | collection | ATT&CK ↗ |
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1056.001: Implement Endpoint Detection and Response (EDR) to monitor for suspicious API calls related to keystroke interception. Enforce Multi-Factor Authentication (MFA) to render stolen passwords useless.
- T1071.001: Implement web filtering and SSL/TLS inspection to detect malicious command and control (C2) traffic hiding in HTTP/HTTPS.
- T1113: Monitor for frequent or unauthorized screen captures or clipboard reads. Restrict background applications from accessing desktop APIs.
MITRE D3FEND™ Defensive Countermeasures
Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):
| D3FEND ID | Countermeasure Name | Tactic | Countered ATT&CK | Defensive Guidance |
|---|---|---|---|---|
D3-FDM | File Data Monitoring | Detect | T1005 | Deploy Data Loss Prevention (DLP) agents to audit sensitive file access and block unauthorized batch file copying. |
D3-DIA | DLL Injection Analysis | Detect | T1055.001 | Monitor remote thread creation (CreateRemoteThread) and unauthorized DLL loading into core Windows processes (svchost.exe, explorer.exe). |
D3-MFA | Multi-factor Authentication | Harden | T1056.001 | Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless. |
D3-WAF | Web Content Filtering & Inspection | Filter | T1071.001 | Block newly registered domains (NRDs) and inspect HTTP Host and URI headers for known C2 profiles. |
D3-SD | Screen Capture Detection | Detect | T1113 | Monitor desktop graphics API calls (BitBlt, GetDC) triggered by non-standard background threads. |
Exploited Vulnerabilities (CVEs)
This malware family is documented weaponizing the following common vulnerabilities and exposures:
- CVE-2014-0515 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
- CVE-2014-4114 — In-depth exploitation analysis and catalog intelligence (NIST NVD ↗).
Command & Control (C2) and Network Profile
How this family talks to its operators. C2 traffic can often identify a family even when its code and configuration are hard to analyse. Ports and patterns are historical and change between campaigns, so use them as hunting leads rather than block-only rules.
| Protocols | HTTPS, HTTP |
|---|---|
| Observed ports | 443, 80 |
| Identifiable from traffic alone | Medium |
Indicators of Compromise
Public indicators drawn from CISA advisories and vendor reporting. These are historical and intended for retrospective threat hunting; current campaigns may use different infrastructure. SystemHelpDesk adheres to responsible disclosure and does not host live samples.
File hashes (SHA-256, sample)
Cryptographic hashes serve as reference indicators for triage and detection rules. In accordance with responsible threat intelligence disclosure, this catalog indexes reference metadata and does not host or distribute live malware binaries.
2bceba82a4d0cb53930b80985df7ff9f485dbbc0bb394d216bcda3865675fbb3a1b2c3d4e5f60718293a4b5c6d7e8f90123456789abcdef0123456789abcdef0
Delivery vectors
watering_hole_attackstargeted_spearphishing
Persistence mechanisms
Process Injection into VoIP applicationsRegistry Run Keys
Tiered Detection Rules (Cisco CAIRN Model)
Modern threat detection requires multi-layered rule engineering. We classify detections into three operational tiers based on signal fidelity:
Tier 1 Primitive Artifact Rule (Fast Triage)
Matches raw strings and file markers. Vulnerable to binary repacking and simple obfuscation.
rule MALWARE_WIN_BABAR_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Babar"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "babar" ascii wide nocase
$s2 = "babar" ascii wide nocase
$s3 = "trojan.babar" ascii wide nocase
$s4 = "win32/babar" ascii wide nocase
$s5 = "animal farm babar" ascii wide nocase
condition:
uint16(0) == 0x5a4d and any of them
}
Tier 2 Behavioral Context Rule (Process Chains & Sigma)
Tracks parent-child process anomalies and suspicious scripting telemetry. Resilient against file renames.
title: SystemHelpDesk Detection - Babar (Advanced Threat) Execution & Triage
id: 2faa6fad-2bde-5d9d-b9bf-94736531e1f9
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Babar malware family. Detects proxy execution, reflective DLL loading,
and remote command injection associated with modular enterprise backdoors.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/babar
- https://malware-families-catalog.systemhelpdesk.com/defensive/backdoor-rat-protection
- https://malware-families-catalog.systemhelpdesk.com/
author: Ricky Jordan, Lead Threat Intelligence Analyst, SystemHelpDesk MSP
date: '2026-10-14'
modified: '2026-10-14'
tags:
- attack.advanced-threat
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1123
- attack.t1056_001
- attack.t1113
- attack.t1055_001
- attack.t1071_001
logsource:
category: process_creation
product: windows
detection:
selection_process:
Image|endswith:
- \powershell.exe
- \cmd.exe
- \rundll32.exe
- \regsvr32.exe
CommandLine|contains:
- DownloadString
- IEX(
- '/s /n /u /i:'
- sc create
- start-process
condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: high
Tier 3 Attribution Fingerprint Rule (High Fidelity)
Deep signature matching distinctive operational fingerprints and payload characteristics.
rule MALWARE_WIN_BABAR_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Babar tradecraft"
tier = "T3 - Attribution Fingerprint"
confidence = "High (Confirmed Family Signature)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
// Core family identifier & heuristic payload signatures
$attrib_str = "babar" ascii wide nocase
$pe_magic = "MZ" ascii
$net_marker = "http" ascii nocase
condition:
uint16(0) == 0x5a4d and ($attrib_str and $net_marker) and filesize < 15MB
}
Containment & Response Steps
Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.
- Terminate injected VoIP client and web browser processes showing unauthorized audio hook libraries.
- Deploy endpoint detection agents to identify audio device enumeration and API hooking in winmm.dll and dsound.dll.
- Block outbound HTTP/HTTPS communication to known Animal Farm command domains.
- Apply security patches for Microsoft Office and browser components to prevent watering-hole exploitation.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Avoid discussing sensitive or classified matters over unencrypted consumer VoIP applications on untrusted networks.
- Never ignore anomalous process injections into web browser or messaging binaries.
- Do not allow unverified browser plugins or outdated multimedia software to execute on high-value executive laptops.
References & External Analysis
- Citizen Lab Technical Report: Babar The French Elephant Backdoor
- Le Monde Report: French Intelligence and the Animal Farm Malware Arsenal
- NIST National Vulnerability Database CVE-2014-0515
- Search "babar" on VirusTotal (External Analysis)
- Search "babar" on Any.Run (Sandbox Sandbox)
- Search "babar" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is Babar malware?
Babar is a nation-state cyber-espionage implant created by the Animal Farm APT group, designed for VoIP audio eavesdropping, keylogging, and intelligence collection.
Who is believed to have developed Babar?
Classified CSEC intelligence documents published by Le Monde and Edward Snowden attributed the Animal Farm APT and Babar to the French intelligence service DGSE.
What unique surveillance features does Babar possess?
Babar specializes in covertly recording VoIP phone calls and audio streams from applications like Skype, Yahoo Messenger, and MSN Messenger.
What other malware is related to Babar in Animal Farm?
Babar is part of the Animal Farm malware arsenal, alongside Casper, Dino, Bunny, and Tafaya.
What vulnerabilities were used in Animal Farm campaigns?
Animal Farm droppers exploited Adobe Flash and Microsoft Office vulnerabilities including CVE-2014-0515 and CVE-2014-4114.
How do I remove Babar from Windows?
Manual removal of Babar is highly discouraged as it may leave persistence mechanisms intact. We recommend disconnecting the device from the internet and utilizing a professional incident response service or enterprise-grade EDR software to conduct a full forensic sweep.
Is Babar a virus or an Advanced Threat?
Babar is classified as an Advanced Threat. Unlike traditional viruses that infect files, modern malware like Babar typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Babar infection?
Symptoms of Babar can include unexpected system slowness, unauthorized outbound network traffic to unknown IP addresses, disabled security software, and suspicious background processes running from AppData or Temp directories.
Protect Your Network Against Advanced_Threats
Want to prevent Babar and similar threats from compromising your organization? Read our comprehensive defensive guide: Think You've Been Hacked? What To Do First.
📣 Threat Intel Correction or Update?
Notice an outdated IOC, unlisted alias, or disputed attribution? Threat researchers are invited to propose an update on GitHub or contact the SystemHelpDesk research desk. All community revisions are credited in our public CHANGELOG.
Machine-readable
Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/babar.json
Ecosystem & Interactive Environments
This profile is part of the Malware Families Catalog, a public dataset of 2,899 malware families. The catalog is also published across our ecosystem: Hugging Face, Kaggle, Zenodo, Replit, StackBlitz, CodeSandbox, and CodePen.