TF-MAL-elf.ddg
📛 Threat Title
Malware family: DDG
Description
ThreatFox malware family `elf.ddg`. Printable name: DDG.
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.ddg
VT: VT base fetch failed: HTTPError: 429 Client Error: Too Many Requests for url: https://www.virustotal.com/api/v3/domains/elf.ddg
IOC database
- Type
- domain
- Value
elf.ddg- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
- Description
- Extracted from Threat TF-MAL-elf.ddg
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.ddg
References (1)
- ThreatFox: IOCs for this family ThreatFox Malwares
Remediations (10)
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web:101.school
In conclusion, remediation is a critical aspect of dealing with malware incidents. By understanding the different strategies and techniques involved, you can effectively mitigate the impact of a malware attack and prevent future infections.
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web:access.redhat.com
Access Red Hat's knowledge, guidance, and support through your subscription.
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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:marcusbotacin.github.io
Malware classification is a critical task in computer security since it allows the identification and mitigation of potential cybersecurity threats. Convolutional Neural Networks (CNN) have proven to be an efective tool in malware detection, especially when combined with the transfer learning technique.
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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.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.ncsc.gov.uk
How to defend organisations against malware or ransomware attacks.
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web:www.nist.gov
44 43 Threat Mitigation Profile: Cybersecurity Intrusion ... 47 Example 2: Malware ritical infrastructure c cent attacks suggest that 50 organizational assets. Key features of malware attacks include the exploitation of outdated 51 patches, ingress through back channels, denial of service based on exploited systems and failing
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web:www.reddit.com
Mitigation doesn't equal remediation . The fact that a security control is blocking a bad connection is good but it's better to understand why the connection was triggered in the first place and try to get to the root cause to remediate it.
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