s2
--:--:--UTC

Searching APEX

Starting…

  1. Searching Threats, IOCs & Threat Intelligence locally
  2. Querying external providers
  3. Asking AI Forensic Validator
  4. Creating new entry from validated hit

0s elapsed

TF-MAL-elf.cdorked

📛 Threat Title

Malware family: CDorked

Category: CDorked First seen: Last updated: Source: ThreatFox Malwares

Description

ThreatFox malware family `elf.cdorked`. Printable name: CDorked. Aliases: CDorked.A.

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

IOC database

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

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.cdorked

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:github.com

    Mapping Malware with MITRE ATT&CK is a detailed research project focused on analyzing malware threats using the MITRE ATT&CK framework. The project investigates Ryuk Ransomware, a notorious malware family , identifying its characteristics, motivations, and potential targets - MojithaR/Mapping- Malware -with-MITRE-ATT-C

  • web:learn.microsoft.com

    Remediate security weaknesses discovered through security recommendations, and create exceptions if needed, in Defender Vulnerability Management.

  • web:windowsforum.com

    The emergence of RESURGE signals more than just another entry in a long line of malware threats. According to CISA, RESURGE contains advanced persistence features inherited from the SPAWNCHIMERA malware family—a group notorious for its ability to survive system reboots and avoid simplistic remediation .

  • 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.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.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 ...

  • web:www.ncsc.gov.uk

    How to defend organisations against malware or ransomware attacks.

  • 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

Only Available for Registered Users. Sign in to view.