Mongolock
Overview
Ransom:Win32/Mongolock represents a highly specialized and devastating form of extortion that specifically targets unsecured, internet-exposed **MongoDB databases**, rather than individual user files or endpoints. It is a stark reminder of the dangers of cloud misconfigurations. Unlike traditional ransomware that encrypts files in place, Mongolock completely drops (deletes) the victim's databases and replaces them with a single collection containing a ransom demand, often resulting in total, irrecoverable data loss.
Understanding the Mongolock Threat
To an organization, a Mongolock attack is catastrophic. Their web applications suddenly crash, and upon inspecting the database, all customer records and operational data are gone, replaced by a table named `WARNING` demanding Bitcoin. For cloud security architects, Mongolock highlights a failure in basic access control (`T1190`); the database was left exposed to the public internet without authentication enabled.
Execution and Database Wiping Mechanics
Mongolock does not rely on phishing or malware payloads on an endpoint. Instead, attackers use automated scanning scripts (like Shodan or Masscan) (`T1595.002`) to scour the internet for MongoDB instances exposed on default port `27017` with no access controls configured (`T1190`). Once a vulnerable instance is found, the attacker's script connects directly to the database. It executes a command to completely drop (delete) all existing databases and collections (`T1485`). It then creates a new database (often named `READ_ME_TO_RECOVER_YOUR_DATA`) and inserts a single document demanding a ransom payment in cryptocurrency (`T1486`). Crucially, in many Mongolock attacks, the attackers *do not* actually back up the data before deleting it; paying the ransom results in nothing.
Indicators of Compromise & Impact
The impact is immediate, total data loss and massive operational downtime. The primary IoC is the sudden disappearance of all MongoDB collections, replaced by a single ransom note collection. Cloud infrastructure logs (AWS CloudTrail, Azure Activity Log) will show unauthorized inbound connections to port `27017` from unknown IP addresses, followed immediately by massive data deletion commands.
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to the MITRE ATT&CK framework:
| Technique | Name | Tactic |
|---|---|---|
T1190 | Exploit Public-Facing Application (Exploiting unauthenticated MongoDB instances) | Initial Access |
T1595.002 | Active Scanning: Vulnerability Scanning (Mass-scanning for port 27017) | Reconnaissance |
T1485 | Data Destruction (Dropping the databases) | Impact |
T1486 | Data Encrypted for Impact (Leaving the ransom note) | Impact |
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_MONGOLOCK {
meta:
description = "Detects Mongolock (ransomware)"
author = "SystemHelpdesk Boilerplate Generator"
date = "2026-07-06"
strings:
$s1 = "mongolock" ascii wide nocase
condition:
uint16(0) == 0x5a4d and any of them
}Sigma Rule
title: Suspicious Mongolock Activity
id: b7db3bb82d7911d5034d6ff656c0f00b
status: experimental
description: Detects generic indicators of the mongolock malware family.
logsource:
category: process_creation
product: windows
detection:
selection:
Image|endswith:
- '\cmd.exe'
- '\powershell.exe'
CommandLine|contains:
- "*mongolock*"
condition: selection
level: mediumContainment & Response Steps
Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.
- Immediately alter the cloud firewall/Security Group rules to block all public internet access to the MongoDB instance (Port 27017).
- Enable authentication and Role-Based Access Control (RBAC) on the MongoDB instance immediately.
- Do not pay the ransom. Mongolock attacks are frequently automated wipers; the attackers rarely exfiltrate or save the data before deleting it.
- Restore the database from the most recent secure, offline backup taken before the attack occurred.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not expose any database (MongoDB, Redis, Elasticsearch) directly to the public internet without strict IP allowlisting and strong authentication.
- Avoid assuming cloud providers secure your data by default; securing database access is a customer responsibility under the Shared Responsibility Model.
References & External Analysis
- Search "mongolock" on VirusTotal (External Analysis)
Frequently Asked Questions
How do I remove the Mongolock Ransomware from Windows?
Manual removal of Mongolock 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 Mongolock a virus or a Ransomware?
Mongolock is classified as a Ransomware. Unlike traditional viruses that infect files, modern malware like Mongolock typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Mongolock infection?
Symptoms of Mongolock 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.
Related Families (Category: ransomware)
Explore other malware families in the same category:
Protect Your Network Against Ransomwares
Want to prevent Mongolock and similar threats from compromising your organization? Read our comprehensive defensive guide: Ransomware Protection Guide.
Machine-readable
Get this profile as JSON: https://jordanricky1604-ship-it.github.io/malware-families-catalog/api/mongolock.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.