Httpbot

Overview

Backdoor:Win32/Httpbot (or HTTP Bot) is a broad classification for botnet agents and Remote Access Trojans (RATs) that specifically utilize standard web protocols (HTTP and HTTPS) to communicate with their Command and Control (C2) servers (`T1071.001`). By disguising their malicious traffic as normal web browsing, Httpbot variants successfully bypass many traditional firewalls and basic network intrusion detection systems.

Understanding Httpbot (Web-Based C2)
To an end-user, the infection is entirely invisible; there are no pop-ups or signs of sluggishness. For a security team, an Httpbot detection indicates an endpoint is actively compromised and receiving instructions from an external attacker. This is a severe incident, as the bot can be instructed to download ransomware, steal data, or participate in Distributed Denial of Service (DDoS) attacks.

Execution and Evasion Mechanics
Httpbot typically arrives as a secondary payload dropped by a loader (like an Office macro or a drive-by download). It establishes persistence via Registry Run keys (`T1547.001`). Once active, it begins 'beaconing'—sending regular HTTP GET or POST requests to the C2 server. Attackers often format the C2 traffic to mimic legitimate APIs (e.g., sending JSON payloads, or hiding commands in base64-encoded strings within HTTP headers) (`T1027`). Modern variants almost exclusively use HTTPS, encrypting the traffic and forcing defenders to rely on SSL inspection or host-based logging to read the payload.

Indicators of Compromise & Impact
The impact is total loss of endpoint control. Host-based IoCs include unexpected executables running from `%AppData%` and maintaining long-running, periodic network connections. Network IoCs are critical: look for highly regular, repetitive HTTPS connections (beacons) originating from `svchost.exe` (if injected) or unknown binaries, especially to newly registered domains or IP addresses lacking a legitimate reputation.

MITRE ATT&CK Techniques

Observed techniques used by this family, mapped to the MITRE ATT&CK framework:

Tactical Mitigations

Based on the techniques used by this family, consider the following defensive strategies:

• T1071.001: Implement web filtering and SSL/TLS inspection to detect malicious command and control (C2) traffic hiding in HTTP/HTTPS.

Generated Detections (Boilerplate)

These YARA and Sigma rules are auto-generated based on the family name and aliases. They must be heavily tuned before deployment in a production environment.

YARA Rule

rule MALWARE_WIN_HTTPBOT {
    meta:
        description = "Detects Httpbot (ransomware)"
        author = "SystemHelpdesk Boilerplate Generator"
        date = "2026-07-06"
    strings:
        $s1 = "httpbot" ascii wide nocase
    condition:
        uint16(0) == 0x5a4d and any of them
}

Sigma Rule

title: Suspicious Httpbot Activity
id: a54161fec83932e1f2b9f9f1f88d3e29
status: experimental
description: Detects generic indicators of the httpbot malware family.
logsource:
    category: process_creation
    product: windows
detection:
    selection:
        Image|endswith:
            - '\cmd.exe'
            - '\powershell.exe'
        CommandLine|contains:
            - "*httpbot*"
    condition: selection
level: medium

Containment & Response Steps

Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.

1. Isolate the endpoint immediately to cut off the attacker's control and prevent the deployment of secondary payloads.
2. Analyze network proxy or firewall logs to identify the specific C2 domain or IP address the bot was communicating with.
3. Block the identified C2 infrastructure enterprise-wide.
4. Perform a full forensic review of the endpoint to determine what commands were executed while the bot was active (e.g., data exfiltration).

What to Avoid

Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.

1. Do not assume the network is safe just because traffic is flowing over port 443 (HTTPS); attackers leverage encryption to hide their C2 channels.
2. Avoid leaving the machine on the network to 'monitor' the bot; the attacker could pivot laterally at any moment.

References & External Analysis

• Search "httpbot" on VirusTotal (External Analysis)

Frequently Asked Questions

Related Families (Category: ransomware)

Explore other malware families in the same category:

• Montp
• Loveletter
• Fakeransom
• Genericrxex
• Tibsystems

Machine-readable

Get this profile as JSON: https://jordanricky1604-ship-it.github.io/malware-families-catalog/api/httpbot.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.