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TF-MAL-elf.botb

📛 Threat Title

Malware family: Break out the Box

Category: Break out the Box First seen: Last updated: Source: ThreatFox Malwares

Description

ThreatFox malware family `elf.botb`. Printable name: Break out the Box. Aliases: BOtB.

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.botb VT: VT base fetch failed: HTTPError: 429 Client Error: Too Many Requests for url: https://www.virustotal.com/api/v3/domains/elf.botb

IOC database

Type
domain
Value
elf.botb
First seen
Last seen
Attached to this threat
Appears in
1 threat
Description
Extracted from Threat TF-MAL-elf.botb

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.botb

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:link.springer.com

    This requires a lot of low-level manual effort. To this end, the goal of this chapter is to serve as a guide for potential analysts into how they can manually analyse a malicious sample, protected by a packer, and dump the malicious family payload locally for further research using as baseline a real-world malware .

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

    This is a pentesting tool and according to the author, "BOtB is a container analysis and exploitation tool designed to be used by pentesters and engineers while also being CI/CD friendly with common CI/CD technologies.". It has been observed being used by TeamTNT in their activities for spreading crypto-mining malware .

  • web:medium.com

    Try Hack Me — Eradication & Remediation — Walkthrough This is the 4th room within the newly released SOC L2 Path on THM under the Incident Response section. Link to the room …

  • 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

    The following recommendations and best practices may be helpful during the investigation and remediation process. Note: Although this guidance provides best practices to mitigate common attack vectors, organizations should tailor mitigations to their network. General Mitigation Guidance Restrict or Discontinue Use of FTP and Telnet Services The FTP and Telnet protocols transmit credentials in ...

  • web:www.first.org

    To make sure that all malware analysis procedures are conducted efficiently, it is important to regularly (for example, every quarter) to assess activities conducted by a malware analysis team. During these assessments, it is helpful to review reports produced over a certain period of time and identify important trends out of available information.

  • web:www.fortra.com

    According to Google's Mandiant M-Trends 2025 Report, BEACON remains the most frequently observed malware family worldwide for the fifth year running. The report also gives credit to Operation MORPHEUS, which resulted in an 80% reduction of the unauthorized (or illicit) copies of Cobalt Strike over the past two years.

  • web:www.microsoft.com

    The ClickFix social engineering technique has been growing in popularity, with campaigns targeting thousands of enterprise and end-user devices daily. This technique exploits users' tendency to resolve technical issues by tricking them into running malicious commands. These commands, in turn, deliver payloads that ultimately lead to information theft and exfiltration.

  • web:www.nature.com

    This study proposes a hierarchical deep learning framework for Portable Executable (PE) malware detection and family categorization, underpinned by a novel Doubly Regularized Binary Cross-Entropy ...

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