TF-MAL-elf.lightning
📛 Threat Title
Malware family: Lightning Framework
Description
ThreatFox malware family `elf.lightning`. Printable name: Lightning Framework.
Indicators of Compromise (1)
Each indicator is enriched from the IOC database, threat-intel feed corroboration (Threat Hunt) and VirusTotal. Click one to expand.
domain
elf.lightning
VT: VT base fetch failed: HTTPError: 429 Client Error: Too Many Requests for url: https://www.virustotal.com/api/v3/domains/elf.lightning
IOC database
- Type
- domain
- Value
elf.lightning- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
- Description
- Extracted from Threat TF-MAL-elf.lightning
Threat Hunt — feed corroboration
Not present in any configured threat-intel feed.
Details From VirusTotal
VirusTotal: VT base fetch failed: HTTPError: 429 Client Error: Too Many Requests for url: https://www.virustotal.com/api/v3/domains/elf.lightning
References (1)
- ThreatFox: IOCs for this family ThreatFox Malwares
Remediations (10)
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web:arxiv.org
Interpretable models are especially important in ad-versarial domains such as malware analysis, where understanding the rationale behind a classification can guide remediation efforts and enhance model robust-ness. This paper proposes a novel approach for detect-ing and explaining concept drift in malware families over time.
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web:attack.mitre.org
Enterprise Mitigations Mitigations represent security concepts and classes of technologies that can be used to prevent a technique or sub-technique from being successfully executed.
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web:malpedia.caad.fkie.fraunhofer.de
Details for the Lightning Framework malware family including references, samples and yara signatures.
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web:www.breachsense.com
Complete malware remediation now requires addressing both the infected endpoint and the stolen authentication data. Your malware incident response playbook must account for both.
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web:www.cisa.gov
It highlights technical approaches to uncovering malicious activity and includes mitigation steps according to best practices. The purpose of this report is to enhance incident response among partners and network administrators along with serving as a playbook for incident investigation.
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web:www.crowdstrike.com
Remediate faster Execute built-in commands or custom scripts to easily carry out complex remediation actions on any managed endpoint remotely. Connect to and quickly isolate the impacted endpoint, then remove malicious files to immediately shut down the attack.
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web:www.first.org
Introduction Overview The Malware Analysis Framework , developed by FIRSTs Malware Analysis Special Interest Group (SIG), is a document aimed to help CSIRTs establish their own malware analysis workflow (s). It provides step-by-step guidance in all workflow phases on how to develop malware analysis capabilities within CSIRTs. This document also lists supporting resources that can further assist ...
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web:www.mdpi.com
Identifying malware families is vital for predicting attack campaigns and creating effective defense strategies. Traditional signature-based methods are insufficient against new and evasive malware , highlighting the need for adaptive, multimodal solutions. This paper proposes a deep learning framework that fuses visual and static features through a ConvNeXt-Tiny backbone with cross-attention ...
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web:www.ncsc.gov.uk
Malware attacks, in particular ransomware attacks, can be devastating for organisations because computer systems are no longer available to use, and in some cases data may never be recovered.
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web:www.sciencedirect.com
The state-of-the-art studies of malware detection mainly focus on whether the malware is packed, or which type of packer is used. However, the ability of detecting the family of packed malware is still insufficient. Motivated by the above challenges, a novel packed malware family classification framework called MaliCage is proposed.
AI Forensic Analysis
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