Httpbot

Category: ransomware · Aliases: None known · Sample count (EMBER 2018): 1 · Enrichment: expert-seo · Updated: 2026-06-09
Category: RansomwareStatus: Automated SignaturePlatform: WINDOWS_PEStage: Defense Evasion, ImpactActor: Unknown / CybercriminalIndustry: Healthcare, Critical Infrastructure, EnterpriseMotivation: Financial Extortion🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows Server 2022
Executive Summary
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`).

Table of Contents

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 our technical analysis hubs and the official MITRE ATT&CK framework:

→ Explore the complete 226-Technique ATT&CK Threat Matrix

Tactical Mitigations

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

MITRE D3FEND™ Defensive Countermeasures

Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):

D3FEND IDCountermeasure NameTacticCountered ATT&CKDefensive Guidance
D3-PIADProcess Injection Analysis & DetectionDetectT1055Monitor cross-process thread creation (CreateRemoteThread) and asynchronous procedure calls (QueueUserAPC).
D3-WAFWeb Content Filtering & InspectionFilterT1071.001Block newly registered domains (NRDs) and inspect HTTP Host and URI headers for known C2 profiles.
D3-RPMRegistry Persistence MonitoringDetectT1547.001Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management.

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_HTTPBOT_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Httpbot"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "httpbot" 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 - Httpbot (Ransomware) Execution & Triage
id: baba183b-b214-50f9-a3c5-2364043bd3dd
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Httpbot malware family. Detects volume shadow copy deletion, boot status
  tampering, and recovery inhibition characteristic of modern ransomware operations.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/httpbot
- https://malware-families-catalog.systemhelpdesk.com/defensive/ransomware-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.ransomware
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1547_001
- attack.t1055
- attack.t1071_001
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \vssadmin.exe
    - \wmic.exe
    - \wbadmin.exe
    - \bcdedit.exe
    CommandLine|contains:
    - delete shadows
    - shadowcopy delete
    - resize shadowstorage
    - recoveryenabled no
    - ignoreallfailures
  condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: critical

Tier 3 Attribution Fingerprint Rule (High Fidelity)

Deep signature matching distinctive operational fingerprints and payload characteristics.

rule MALWARE_WIN_HTTPBOT_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Httpbot 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 = "httpbot" 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
}
SOC & SIEM Rule Downloads: ⬇ Download YARA Rule (.yar) ⬇ Download Sigma Rule (YAML) ⬇ Download Sigma Rule (JSON) ⚙ Threat Profile API (JSON)

Containment & Response Steps

Home Users: If you suspect a malware infection on your personal device, disconnect from the internet immediately and run a full system scan with your antivirus software (see our TotalAV Antivirus & Security Support Guide). The steps below are intended for IT professionals responding to enterprise incidents.

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

Frequently Asked Questions

What is Httpbot and what threat category does it belong to?

Httpbot is classified as a Ransomware. Documented across security telemetry, it is engineered to execute unauthorized operations, establish persistent footholds on target endpoints, and facilitate malicious campaigns targeting enterprise and individual environments.

How does Httpbot establish persistence and evade defensive controls?

Httpbot typically establishes persistence through registry run keys, scheduled tasks, or service installations, while evading signature-based antivirus solutions through code obfuscation, memory injection, or anti-analysis sandbox checks.

What are the essential incident response steps for mitigating a Httpbot compromise?

Security teams responding to Httpbot should immediately isolate affected endpoints from the network, perform memory triage to capture volatile forensic artifacts, audit registry and startup persistence mechanisms, revoke exposed user credentials, and restore systems from verified, clean backups.

What cryptographic algorithms and file targeting techniques does Httpbot employ during execution?

Httpbot typically leverages hybrid cryptographic architectures combining symmetric stream or block ciphers (such as AES-256 or ChaCha20) for rapid file encryption with asymmetric algorithms (such as RSA-2048 or Curve25519) to securely protect the session keys. It aggressively targets sensitive file extensions including corporate documents, databases, virtual disks, and backups while systematically executing commands to delete Volume Shadow Copies (vssadmin delete shadows /all /quiet) and disable system recovery options.

Are decryptors available for Httpbot, and what is the recommended recovery procedure?

Decryption availability for Httpbot depends on whether security researchers or law enforcement (such as the No More Ransom initiative) have recovered the master private keys or discovered flaws in its key generation routines. Victims should never pay the extortion demand, as payment fuels criminal operations without guaranteeing file restoration. The recommended recovery procedure entails isolating infected hosts, conducting forensic disk imaging, identifying the root access vector, and restoring validated systems from immutable offline backups.

How do I remove the Httpbot Ransomware from Windows?

Manual removal of Httpbot 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 Httpbot a virus or a Ransomware?

Httpbot is classified as a Ransomware. Unlike traditional viruses that infect files, modern malware like Httpbot typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.

What are the main symptoms of a Httpbot infection?

Symptoms of Httpbot 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 Ransomwares

Want to prevent Httpbot and similar threats from compromising your organization? Read our comprehensive defensive guide: Ransomware Containment & Incident Response.

📣 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.

Need help with an active incident? Published by the SystemHelpdesk team.

Machine-readable

Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/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.