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TF-MAL-apk.connic

📛 Threat Title

Malware family: Connic

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

Description

ThreatFox malware family `apk.connic`. Printable name: Connic. Aliases: SpyBanker.

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

IOC database

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

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/apk.connic

References (1)

Remediations (10)

  • web:cloud.google.com

    SPAWN Malware Family During analysis of an Ivanti Connect Secure appliance compromised by UNC5221, Mandiant discovered four distinct malware families that work closely together to create a stealthy and persistent backdoor on an infected appliance.

  • web:cybersecuritynews.com

    A critical vulnerability in Ivanti Connect Secure (CVE-2025-0282) is being actively exploited by multiple threat actors to deploy an advanced malware variant.

  • web:knowledge.broadcom.com

    However, malware authors have created threats and viruses which use commonly-available mining software to take advantage of someone else's computing resources (CPU, GPU, RAM, network bandwidth, and power), without their knowledge or consent (i.e. cryptojacking).

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

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

  • 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.

  • 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.ic3.gov

    Overview Threat actors are deploying ATM jackpotting malware , including the Ploutus family malware , to infect ATMs and force them to dispense cash. Ploutus malware exploits the eXtensions for Financial Services (XFS), the layer of software that instructs an ATM what to physically do. When a legitimate transaction occurs, the ATM application sends instructions through XFS for bank authorization ...

  • 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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