TF-MAL-osx.pintsized
📛 Threat Title
Malware family: PintSized
Description
ThreatFox malware family `osx.pintsized`. Printable name: PintSized.
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
osx.pintsized
VT: VT base fetch failed: HTTPError: 429 Client Error: Too Many Requests for url: https://www.virustotal.com/api/v3/domains/osx.pintsized
IOC database
- Type
- domain
- Value
osx.pintsized- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
- Description
- Extracted from Threat TF-MAL-osx.pintsized
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/osx.pintsized
References (1)
- ThreatFox: IOCs for this family ThreatFox Malwares
Remediations (10)
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web:arxiv.org
Abstract. Determining the family to which a malicious file belongs is an essential component of cyberattack investigation, attribution, and remediation . Performing this task manually is time consuming and requires expert knowledge. Automated tools using that label malware using antivirus detections lack accuracy and/or scalability, making them insufficient for real-world applications. Three ...
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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 .
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web:www.boozallen.com
The ability to quickly pin down the family of malware used during a cyber attack can be a massive boon to an incident responder. Not only does family classification provide immediate insights about the characteristics and behaviors of a malware sample, but it is a core part of the triage, remediation , and attribution efforts.
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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.microsoft.com
Kazuar, a sophisticated malware family attributed to the Russian state actor Secret Blizzard, has been under constant development for years and continues to evolve in support of espionage-focused operations. Over time, Kazuar has expanded from a relatively traditional backdoor into a highly modular peer-to-peer (P2P) botnet ecosystem designed to enable persistent, covert access to target ...
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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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web:www.ncsc.gov.uk
This guidance helps private and public sector organisations deal with the effects of malware (which includes ransomware). It provides actions to help organisations prevent a malware infection, and also steps to take if you're already infected. Following this guidance will reduce: the likelihood of becoming infected the spread of malware throughout your organisation the impact of the infection
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web:www.sciencedirect.com
Therefore, we conduct an in-depth analysis to explore the severity of the malware mislabel issue, and try to rectify the description of malware generated from anti-virus engines. We first propose a malware label correction tool called RecMaL. It employs hybrid analyses for malware label rectifying.
AI Forensic Analysis
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