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TF-MAL-elf.lightning

📛 Threat Title

Malware family: Lightning Framework

Category: Lightning Framework First seen: Last updated: Source: ThreatFox Malwares

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

Open the full IOC page →

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)

Remediations (10)

  • 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.

  • 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.

  • web:malpedia.caad.fkie.fraunhofer.de

    Details for the Lightning Framework malware family including references, samples and yara signatures.

  • 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.

  • 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.

  • 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.

  • 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 ...

  • 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 ...

  • 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.

  • 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.

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