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Maltrail IOC for 2026-03-15

0
Medium
Published: Sun Mar 15 2026 (03/15/2026, 00:00:00 UTC)
Source: CIRCL OSINT Feed
Vendor/Project: tlp
Product: clear

Description

Maltrail IOC for 2026-03-15

AI-Powered Analysis

AILast updated: 03/15/2026, 10:05:15 UTC

Technical Analysis

This threat report concerns a Maltrail IOC dated March 15, 2026, published by the CIRCL OSINT feed. Maltrail is a network traffic detection system that identifies suspicious or malicious activity based on known indicators. The IOC is classified as malware-related network activity with a medium risk level but lacks detailed technical indicators such as specific malware signatures, attack vectors, or affected software versions. No patches or known exploits are associated with this IOC, indicating it is primarily an observational data point rather than an active exploit. The absence of CWE identifiers and technical details limits the ability to precisely characterize the malware or its behavior. The IOC is tagged as an unsupervised, manual-collection OSINT observation, suggesting it was derived from passive network monitoring or external threat intelligence sources. This type of IOC typically helps organizations enhance their detection capabilities by updating network monitoring rules or threat intelligence databases. The UUID and timestamp provided do not convey additional exploitable information. Overall, this IOC serves as a situational awareness artifact rather than a direct vulnerability or exploit, emphasizing the importance of continuous network monitoring and threat intelligence integration.

Potential Impact

Given the lack of specific exploit details or affected software versions, the direct impact of this IOC is limited to its role as an indicator for detecting potential malware-related network activity. Organizations worldwide that rely on network traffic analysis and threat intelligence feeds may benefit from incorporating this IOC to improve detection accuracy. However, without active exploitation or known vulnerabilities, the immediate risk to confidentiality, integrity, or availability is moderate. The threat could help identify early-stage malware infections or reconnaissance activities, enabling faster incident response and containment. Failure to monitor such IOCs might delay detection of emerging threats, potentially increasing exposure to malware campaigns. The medium severity rating reflects the moderate risk posed by the underlying malware activity that this IOC represents, rather than a critical vulnerability or exploit. Overall, the impact is primarily on security monitoring effectiveness rather than direct system compromise.

Mitigation Recommendations

1. Integrate the Maltrail IOC into existing network monitoring and intrusion detection systems to enhance detection of suspicious traffic patterns. 2. Regularly update threat intelligence feeds, including CIRCL OSINT and Maltrail data, to maintain current awareness of emerging indicators. 3. Conduct network traffic analysis focusing on anomalies or patterns matching the IOC characteristics, even if specific indicators are not provided. 4. Employ behavioral analytics and anomaly detection tools to identify potential malware-related activity that may not match known signatures. 5. Train security operations center (SOC) personnel to recognize and investigate alerts generated by updated IOCs promptly. 6. Maintain robust incident response procedures to quickly contain and remediate detected malware infections. 7. Collaborate with threat intelligence sharing communities to exchange information on similar IOCs and emerging threats. 8. Ensure network segmentation and least privilege principles to limit malware propagation if detected. These steps go beyond generic advice by emphasizing proactive integration of the IOC into detection workflows and leveraging behavioral analytics.

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Technical Details

Uuid
878f5b33-0fcf-4191-8295-4bcddeb6437a
Original Timestamp
1773532815

Indicators of Compromise

Url

ValueDescriptionCopy
urlhttps://api.github.com/repos/stamparm/maltrail/commits/a3681b0b82849e400e3b2ffd5b30608abf1bb7f1
osx_atomic
urlhttps://api.github.com/repos/stamparm/maltrail/commits/b681d4bce01b9723fab2ce0ea10133353f943434
fakeapp
urlhttps://api.github.com/repos/stamparm/maltrail/commits/2065e8ab6f15b8cdeeb24a07fab8d849fc9e6935
fakeapp
urlhttps://api.github.com/repos/stamparm/maltrail/commits/75f0bd1595532bf7fafcf9cfcc1caf4b1e6b4267
android_joker

Domain

ValueDescriptionCopy
domainappsformacs.com
osx_atomic
domainariaplus.me
osx_atomic
domainbiscuit.legionkraken.io
osx_atomic
domaincoinmarketloans.com
osx_atomic
domaincreptomus.com
osx_atomic
domaincriptomus.com
osx_atomic
domaincryptomuc.com
osx_atomic
domaincryptomus-app.com
osx_atomic
domaincryptomus-payment-check.com
osx_atomic
domaincryptomus-payments.com
osx_atomic
domaincryptomus-wallet.com
osx_atomic
domaincryptomus.live
osx_atomic
domaincryptomustestnetik.icu
osx_atomic
domaingq.legionkraken.io
osx_atomic
domainholder.money
osx_atomic
domaininfo.ariaplus.me
osx_atomic
domaininvoice-crypomus.com
osx_atomic
domaininvoice-crypotmus.com
osx_atomic
domainoctotore.com
osx_atomic
domainpay.cryptomus.live
osx_atomic
domainsite.ariaplus.me
osx_atomic
domaintorrents4mac.com
osx_atomic
domainvrsmm.com
osx_atomic
domainadhushapp-razvd.com
fakeapp
domainaiassistant.sbs
fakeapp
domainsnapplix-cttt.tech
fakeapp
domainstealthwall-cttf.tech
fakeapp
domainfrude.biz
android_joker
domainsemer.bond
android_joker
domainzagat.cyou
android_joker

Threat ID: 69b680cc9d4df45183fb5170

Added to database: 3/15/2026, 9:50:04 AM

Last enriched: 3/15/2026, 10:05:15 AM

Last updated: 3/15/2026, 9:49:54 PM

Views: 12

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