Kunai Analysis Report - Malware Sample Abusing Open Recursive DNS for Exfiltration
Kunai Analysis Report - Malware Sample Abusing Open Recursive DNS for Exfiltration
AI Analysis
Technical Summary
The Kunai malware sample represents a sophisticated threat that abuses open recursive DNS servers to exfiltrate sensitive data from compromised systems. Open recursive DNS servers resolve DNS queries from any source, making them attractive for attackers to tunnel data covertly. By embedding stolen information within DNS query payloads, the malware bypasses traditional security mechanisms such as firewalls and intrusion detection systems that may not inspect DNS traffic deeply. This exfiltration method aligns with the MITRE ATT&CK technique T1438, which involves using alternative network mediums for data theft. The analysis report indicates no specific affected software versions or patches, suggesting this is a tactic rather than a vulnerability in a particular product. The threat intelligence has a moderate certainty level (50%), indicating some confidence but also the need for further validation. No known exploits in the wild have been reported, which may imply limited current usage or detection challenges. The medium severity rating reflects the balance between the covert nature of the attack and the requirement for the presence of open recursive DNS servers, which are increasingly rare due to better DNS security practices. The malware's ability to leverage DNS for exfiltration poses a significant risk to confidentiality, as sensitive data can be siphoned without triggering conventional alerts. The lack of authentication requirements and user interaction lowers the barrier for exploitation, though the attacker must have compromised a host within the target network. Overall, this threat underscores the importance of securing DNS infrastructure and monitoring DNS traffic for anomalous patterns indicative of data exfiltration.
Potential Impact
For European organizations, the Kunai malware's DNS-based exfiltration technique can lead to significant confidentiality breaches, potentially exposing sensitive corporate, governmental, or personal data. The covert nature of DNS tunneling complicates detection and response, increasing the risk of prolonged undetected data leakage. Organizations with open recursive DNS servers or misconfigured DNS infrastructure are particularly vulnerable. The impact extends to critical sectors such as finance, telecommunications, and government, where data confidentiality is paramount. Additionally, the use of DNS for exfiltration can bypass perimeter defenses, challenging traditional security architectures prevalent in European enterprises. The threat may also affect cloud and managed service providers hosting DNS services, amplifying the potential scope of impact. Given the medium severity, while the threat is not immediately critical, it requires proactive measures to prevent exploitation and mitigate data loss risks. Failure to address this threat could result in regulatory penalties under GDPR due to data breaches and reputational damage within the European market.
Mitigation Recommendations
European organizations should implement the following specific measures to mitigate the Kunai malware threat: 1) Audit and disable open recursive DNS servers within their networks; restrict recursive DNS resolution to authorized internal clients only. 2) Deploy DNS monitoring solutions capable of detecting anomalous query patterns, such as unusually large DNS queries, high query volumes to uncommon domains, or encoded data within DNS payloads. 3) Utilize DNS security extensions (DNSSEC) to ensure DNS data integrity and reduce the risk of DNS manipulation. 4) Implement network segmentation to limit the ability of compromised hosts to communicate with external DNS servers. 5) Employ endpoint detection and response (EDR) tools to identify malware behavior indicative of DNS tunneling. 6) Regularly update and patch DNS server software and related infrastructure to minimize misconfigurations. 7) Educate security teams on recognizing DNS-based exfiltration tactics and incorporate DNS traffic analysis into incident response workflows. 8) Collaborate with ISPs and DNS providers to identify and block known malicious domains used for exfiltration. These targeted actions go beyond generic advice by focusing on DNS-specific controls and behavioral detection techniques.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain
Indicators of Compromise
- text: AF_INET
- text: TCP
- ip: 8.8.8.8
- port: 443
- text: AF_INET
- text: TCP
- ip: 8.8.4.4
- port: 443
- text: AF_INET
- text: TCP
- ip: 9.9.9.9
- port: 443
- text: AF_INET
- text: TCP
- ip: 45.90.28.160
- port: 443
- text: AF_INET
- text: TCP
- ip: 45.90.30.160
- port: 443
- text: AF_INET
- text: TCP
- ip: 149.112.112.112
- port: 443
- text: AF_INET
- text: TCP
- ip: 9.9.9.11
- port: 443
- text: AF_INET
- text: TCP
- ip: 1.1.1.1
- port: 443
- text: AF_INET
- text: TCP
- ip: 1.0.0.1
- port: 443
- text: AF_INET
- text: TCP
- ip: 149.112.112.11
- port: 443
- domain: service.systemsvcs.com
- datetime: 2025-12-15T10:44:44.964728+00:00
- domain: service.systemsvcs.com
- datetime: 2025-12-15T10:44:44.965450+00:00
- file: bb71e285-75ad-4682-8fe7-903b0742e3a0
- size-in-bytes: 5976064
- float: 6.0021875680609
- hash: 9c44bc9373377831c45dd0ac2661a28e
- hash: b439749a581ac5a29b5c9d91fc092bf4ceaa76a4
- hash: 320a0b5d4900697e125cebb5ff03dee7368f8f087db1c1570b0b62f5a986d759
- hash: a4e6614000d02dcaa8f18bf34f630f7b7c4c6b00bd4251144a961e67b4c5f71b42395910f678287b7b7b88beeb43692bfa9b618426117bdd2b4d8ebf54d6e309
- malware-sample: bb71e285-75ad-4682-8fe7-903b0742e3a0|9c44bc9373377831c45dd0ac2661a28e
- file: activity-graph.svg
- file: kunai.json.gz
Kunai Analysis Report - Malware Sample Abusing Open Recursive DNS for Exfiltration
Description
Kunai Analysis Report - Malware Sample Abusing Open Recursive DNS for Exfiltration
AI-Powered Analysis
Technical Analysis
The Kunai malware sample represents a sophisticated threat that abuses open recursive DNS servers to exfiltrate sensitive data from compromised systems. Open recursive DNS servers resolve DNS queries from any source, making them attractive for attackers to tunnel data covertly. By embedding stolen information within DNS query payloads, the malware bypasses traditional security mechanisms such as firewalls and intrusion detection systems that may not inspect DNS traffic deeply. This exfiltration method aligns with the MITRE ATT&CK technique T1438, which involves using alternative network mediums for data theft. The analysis report indicates no specific affected software versions or patches, suggesting this is a tactic rather than a vulnerability in a particular product. The threat intelligence has a moderate certainty level (50%), indicating some confidence but also the need for further validation. No known exploits in the wild have been reported, which may imply limited current usage or detection challenges. The medium severity rating reflects the balance between the covert nature of the attack and the requirement for the presence of open recursive DNS servers, which are increasingly rare due to better DNS security practices. The malware's ability to leverage DNS for exfiltration poses a significant risk to confidentiality, as sensitive data can be siphoned without triggering conventional alerts. The lack of authentication requirements and user interaction lowers the barrier for exploitation, though the attacker must have compromised a host within the target network. Overall, this threat underscores the importance of securing DNS infrastructure and monitoring DNS traffic for anomalous patterns indicative of data exfiltration.
Potential Impact
For European organizations, the Kunai malware's DNS-based exfiltration technique can lead to significant confidentiality breaches, potentially exposing sensitive corporate, governmental, or personal data. The covert nature of DNS tunneling complicates detection and response, increasing the risk of prolonged undetected data leakage. Organizations with open recursive DNS servers or misconfigured DNS infrastructure are particularly vulnerable. The impact extends to critical sectors such as finance, telecommunications, and government, where data confidentiality is paramount. Additionally, the use of DNS for exfiltration can bypass perimeter defenses, challenging traditional security architectures prevalent in European enterprises. The threat may also affect cloud and managed service providers hosting DNS services, amplifying the potential scope of impact. Given the medium severity, while the threat is not immediately critical, it requires proactive measures to prevent exploitation and mitigate data loss risks. Failure to address this threat could result in regulatory penalties under GDPR due to data breaches and reputational damage within the European market.
Mitigation Recommendations
European organizations should implement the following specific measures to mitigate the Kunai malware threat: 1) Audit and disable open recursive DNS servers within their networks; restrict recursive DNS resolution to authorized internal clients only. 2) Deploy DNS monitoring solutions capable of detecting anomalous query patterns, such as unusually large DNS queries, high query volumes to uncommon domains, or encoded data within DNS payloads. 3) Utilize DNS security extensions (DNSSEC) to ensure DNS data integrity and reduce the risk of DNS manipulation. 4) Implement network segmentation to limit the ability of compromised hosts to communicate with external DNS servers. 5) Employ endpoint detection and response (EDR) tools to identify malware behavior indicative of DNS tunneling. 6) Regularly update and patch DNS server software and related infrastructure to minimize misconfigurations. 7) Educate security teams on recognizing DNS-based exfiltration tactics and incorporate DNS traffic analysis into incident response workflows. 8) Collaborate with ISPs and DNS providers to identify and block known malicious domains used for exfiltration. These targeted actions go beyond generic advice by focusing on DNS-specific controls and behavioral detection techniques.
Affected Countries
Technical Details
- Uuid
- 9c2ec5f6-afa1-4753-891b-d130b4539648
- Original Timestamp
- 1765803222
Indicators of Compromise
Text
| Value | Description | Copy |
|---|---|---|
textAF_INET | — | |
textTCP | — | |
textAF_INET | — | |
textTCP | — | |
textAF_INET | — | |
textTCP | — | |
textAF_INET | — | |
textTCP | — | |
textAF_INET | — | |
textTCP | — | |
textAF_INET | — | |
textTCP | — | |
textAF_INET | — | |
textTCP | — | |
textAF_INET | — | |
textTCP | — | |
textAF_INET | — | |
textTCP | — | |
textAF_INET | — | |
textTCP | — |
Ip
| Value | Description | Copy |
|---|---|---|
ip8.8.8.8 | — | |
ip8.8.4.4 | — | |
ip9.9.9.9 | — | |
ip45.90.28.160 | — | |
ip45.90.30.160 | — | |
ip149.112.112.112 | — | |
ip9.9.9.11 | — | |
ip1.1.1.1 | — | |
ip1.0.0.1 | — | |
ip149.112.112.11 | — |
Port
| Value | Description | Copy |
|---|---|---|
port443 | — | |
port443 | — | |
port443 | — | |
port443 | — | |
port443 | — | |
port443 | — | |
port443 | — | |
port443 | — | |
port443 | — | |
port443 | — |
Domain
| Value | Description | Copy |
|---|---|---|
domainservice.systemsvcs.com | — | |
domainservice.systemsvcs.com | — |
Datetime
| Value | Description | Copy |
|---|---|---|
datetime2025-12-15T10:44:44.964728+00:00 | — | |
datetime2025-12-15T10:44:44.965450+00:00 | — |
File
| Value | Description | Copy |
|---|---|---|
filebb71e285-75ad-4682-8fe7-903b0742e3a0 | — | |
fileactivity-graph.svg | sample activity graph | |
filekunai.json.gz | kunai logs for sample |
Size in-bytes
| Value | Description | Copy |
|---|---|---|
size-in-bytes5976064 | — |
Float
| Value | Description | Copy |
|---|---|---|
float6.0021875680609 | — |
Hash
| Value | Description | Copy |
|---|---|---|
hash9c44bc9373377831c45dd0ac2661a28e | — | |
hashb439749a581ac5a29b5c9d91fc092bf4ceaa76a4 | — | |
hash320a0b5d4900697e125cebb5ff03dee7368f8f087db1c1570b0b62f5a986d759 | — | |
hasha4e6614000d02dcaa8f18bf34f630f7b7c4c6b00bd4251144a961e67b4c5f71b42395910f678287b7b7b88beeb43692bfa9b618426117bdd2b4d8ebf54d6e309 | — |
Malware sample
| Value | Description | Copy |
|---|---|---|
malware-samplebb71e285-75ad-4682-8fe7-903b0742e3a0|9c44bc9373377831c45dd0ac2661a28e | — |
Threat ID: 69405ab7d9bcdf3f3dfb1be4
Added to database: 12/15/2025, 7:00:07 PM
Last enriched: 1/10/2026, 12:20:34 AM
Last updated: 2/7/2026, 4:25:52 AM
Views: 1475
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