Full Report
The following is the information on Yara and Snort rules (week 2, January 2025) collected and shared by the AhnLab TIP service. 0 YARA Rules 10 Snort Rules Detection name Source ET TROJAN Observed Malicious User-Agent (UNK_FlappyBird) https://rules.emergingthreatspro.com/open/ ET SCAN ELF/Mirai Variant UDP (Inbound) M1 https://rules.emergingthreatspro.com/open/ ET SCAN ELF/Mirai Variant UDP (Inbound) M2 https://rules.emergingthreatspro.com/open/ ET […]
Analysis Summary
The provided article is a listing of new Snort rules compiled weekly by the AhnLab TIP service for the second week of January 2025. It does not detail the internal workings, TTPs, or comprehensive information for specific malware families or attack tools, but rather lists signatures (detection names) associated with them.
Below is a summary structured as requested, focusing on the threats mentioned in the rule detection names.
# Tool/Technique: UNK\_FlappyBird User-Agent Detection
## Overview
This entry points to a signature designed to detect HTTP traffic utilizing a specific, likely malicious, User-Agent string identified as "UNK\_FlappyBird." This suggests an automated tool or malware campaign is using this identifier.
## Technical Details
- Type: Technique/Indicator (Associated with an unknown Trojan)
- Platform: Web Traffic (HTTP)
- Capabilities: Detection of specific command-and-control (C2) or communication traffic based on the User-Agent header.
- First Seen: Unknown (Rule published in January 2025)
## MITRE ATT&CK Mapping
*Note: Based on the detection of a malicious User-Agent, this likely maps to initial C2 communication.*
- TA0011 - Command and Control
- T1071 - Application Layer Protocol
- T1071.001 - Web Protocols
## Functionality
### Core Capabilities
- Identifying potentially malicious HTTP requests based on a unique User-Agent string.
### Advanced Features
- No advanced features specified; the focus is on signature matching for a specific string.
## Indicators of Compromise
- File Hashes: N/A
- File Names: N/A
- Registry Keys: N/A
- Network Indicators: Detection of the specific User-Agent string in HTTP headers.
- Behavioral Indicators: Suspicious User-Agent usage during network communication.
## Associated Threat Actors
- Unknown
## Detection Methods
- Signature-based detection (Snort rule provided by Emerging Threats).
## Mitigation Strategies
- Network filtering based on User-Agent headers (though this can be easily spoofed).
- Deep packet inspection for anomalous communication patterns.
## Related Tools/Techniques
- User-Agent spoofing techniques used by various malware frameworks.
---
# Tool/Technique: Mirai Variant (ELF) UDP Scanning
## Overview
These Snort rules target network activity associated with variants of the Mirai botnet targeting ELF (Linux/Unix) systems, specifically monitoring incoming UDP traffic used for scanning activities.
## Technical Details
- Type: Malware Family (Mirai Variant)
- Platform: Linux/Unix (ELF binaries)
- Capabilities: Detecting anomalous incoming UDP packet structures commonly used by Mirai for scanning for vulnerable IoT devices.
- First Seen: Mirai first observed publicly around late 2016, but these rules target recent variants.
## MITRE ATT&CK Mapping
- TA0007 - Discovery
- T1595 - Active Scanning
- T1595.002 - Internet Scan
- TA0011 - Command and Control (If the scan is C2 related)
## Functionality
### Core Capabilities
- Detecting inbound UDP packets indicative of Mirai scanning (M1 and M2 signatures).
### Advanced Features
- Specifically targeting ELF binary variants, suggesting targeting of embedded or Linux-based systems.
## Indicators of Compromise
- File Hashes: N/A
- File Names: N/A
- Registry Keys: N/A
- Network Indicators: Inbound UDP traffic matching specific packet characteristics.
- Behavioral Indicators: High volume or specific patterns of inbound UDP traffic.
## Associated Threat Actors
- Mirai operators (various anonymous groups)
## Detection Methods
- Signature-based detection (Snort rules targeting specific packet headers/payloads).
## Mitigation Strategies
- Disabling unnecessary UDP services.
- Network-level rate limiting for UDP traffic.
- Patching and segmenting IoT/Linux devices.
## Related Tools/Techniques
- Other IoT botnets (e.g., Gafgyt, Mozi).
---
# Tool/Technique: Earth Minotaur MOONSHINE Exploit Kit
## Overview
This detection targets URI structures associated with the "MOONSHINE" Exploit Kit, potentially utilized by threat actors tracked as "Earth Minotaur." Exploit Kits are designed to fingerprint a victim's browser vulnerabilities and drive-by-download malware.
## Technical Details
- Type: Exploit Kit / Delivery Framework
- Platform: Web Browsers (Client-side exploitation)
- Capabilities: Identifying the initial request structure used by the MOONSHINE EK to solicit payload delivery.
- First Seen: Unknown context in the article, but related to activities in early 2025.
## MITRE ATT&CK Mapping
- TA0001 - Initial Access
- T1189 - Drive-by Compromise
## Functionality
### Core Capabilities
- Detecting the unique URI structure characteristic of the MOONSHINE exploit kit traffic.
### Advanced Features
- Implies exploitation leveraging multiple client-side vulnerabilities (browser, plugins).
## Indicators of Compromise
- File Hashes: N/A
- File Names: N/A
- Registry Keys: N/A
- Network Indicators: Specific URI paths matching the exploit kit's structure.
- Behavioral Indicators: Client requesting resources that trigger exploit kit execution chains.
## Associated Threat Actors
- Earth Minotaur
## Detection Methods
- Signature-based detection (Snort rule matching URI patterns).
## Mitigation Strategies
- Keeping browsers and plugins patched against known vulnerabilities.
- Using browser security extensions.
## Related Tools/Techniques
- Other active exploit kits (e.g., RIG, Magnitude).
---
# Tool/Technique: Ducktail Malware
## Overview
This set of rules focuses heavily on detecting communications related to the "Ducktail" malware strain. Ducktail is typically associated with stealing cryptocurrency wallet information or session tokens from victims, often utilizing Trojans designed to harvest credentials.
## Technical Details
- Type: Malware Family (Trojan)
- Platform: Primarily Windows (implied by typical credential harvesting targets), but C2 communication is network-based.
- Capabilities: Command and Control (C2) communication, host profiling, task execution confirmation, UAC bypass confirmation, and exfiltration of captured host data.
- First Seen: Unknown context in the article, but rules deployed January 2025.
## MITRE ATT&CK Mapping (Inferred from actions)
- TA0011 - Command and Control
- T1071.001 - Web Protocols (GET/POST usage for C2)
- TA0008 - Lateral Movement / TA0002 - Execution
- T1548.002 - Bypass User Account Control
- TA0010 - Exfiltration
- T1041 - Exfiltration Over C2 Channel
## Functionality
### Core Capabilities
- **C2 Checkin (GET):** Initial beaconing.
- **Begin Download Command (POST):** Receiving instructions or larger payloads.
- **Task Running Confirmation (POST):** Reporting completion of executed commands.
### Advanced Features
- **UAC Bypass Confirmation (POST):** Indicates attempts or successes in elevating privileges.
- **Host Profile Exfiltration (POST):** Collecting system information prior to primary payload exfiltration.
## Indicators of Compromise
- File Hashes: N/A
- File Names: N/A
- Registry Keys: N/A
- Network Indicators: Specific GET/POST requests patterns related to C2 phases (Checkin, Download Command, Exfiltration).
- Behavioral Indicators: Processes attempting UAC bypass or sending structured POST requests identified as profile/task confirmation.
## Associated Threat Actors
- Unknown dedicated threat group or financially motivated actors (Ducktail is often associated with finance fraud).
## Detection Methods
- Signature-based detection using Snort rules keyed to the sequence and content of Ducktail C2 POST requests.
## Mitigation Strategies
- Implementing robust host-based monitoring for UAC bypass attempts.
- Application whitelisting to restrict execution of unauthorized downloads.
## Related Tools/Techniques
- Stealer malware families.
---
# Tool/Technique: Darcula Landing Page
## Overview
This signature detects traffic related to a "Darcula Landing Page," suggesting activity associated with either the Darcula malware family or a campaign using this moniker, likely involving a malicious web page used for initial access in January 2025.
## Technical Details
- Type: Campaign Indicator / Landing Page
- Platform: Web Traffic
- Capabilities: Identifying the specific HTTP response or request patterns associated with accessing the landing page.
- First Seen: January 3rd, 2025 (based on rule context date).
## MITRE ATT&CK Mapping
- TA0001 - Initial Access
- T1189 - Drive-by Compromise (If exploited) or T1566.001 - Phishing: Spearphishing Attachment (If linked from a document).
## Functionality
### Core Capabilities
- Detection of the URI or payload serving content associated with the Darcula activity identified on January 3rd, 2025.
### Advanced Features
- None specified beyond basic landing page detection.
## Indicators of Compromise
- File Hashes: N/A
- File Names: N/A
- Registry Keys: N/A
- Network Indicators: Traffic matching the specific landing page signature.
- Behavioral Indicators: Access to the defined malicious endpoint.
## Associated Threat Actors
- Unknown/Darcula associated group.
## Detection Methods
- Signature-based detection (Snort rule).
## Mitigation Strategies
- Implementing web application firewalls to vet incoming traffic.
- DNS sinkholing for associated domains (if known).
## Related Tools/Techniques
- Web delivery frameworks.