Hard-Coded Backdoor Account in NetMan 204 Device

NetMan 204 contains a hard-coded backdoor account with the username and password 'eurek' that grants administrative access. A remote, unauthenticated attacker can authenticate through the cgi-bin/login.cgi endpoint (for example /cgi-bin/login.cgi?username=eurek&password=eurek, which due to lax parameter validation can be shortened to /cgi-bin/login.cgi?username=eurek%20eurek) to obtain administrator privileges, allowing them to alter device configuration, enable the telnet/SSH services, and reset local user credentials.

Casky was already ahead

This CVE exploits attack patterns that Casky's 215matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

CVE-2025-71317 exploits a critical hard-coded credential vulnerability in NetMan 204 devices, where the username and password 'eurek' provides unauthenticated administrative access through the /cgi-bin/login.cgi endpoint. With a CVSS score of 9.8, this vulnerability is particularly dangerous because it requires no authentication, no user interaction, and can be exploited remotely by any attacker with network access to affected devices. NetMan 204 units, commonly used for remote power management and device monitoring in data centers and enterprise environments, become fully compromised when exploited—attackers gain the ability to reconfigure the device, enable remote access services like telnet and SSH, and reset security parameters. This represents a complete loss of confidentiality, integrity, and availability for any organization relying on these devices for infrastructure management.

Casky.ai identifies this attack pattern through its 215 mapped security skills aligned with MITRE ATT&CK technique TA0006 (Credential Access), specifically detecting CWE-798 (Use of Hard-coded Credentials). When Claude AI with extended reasoning analyzes network traffic and authentication logs, practitioners would see indicators including: successful login attempts to /cgi-bin/login.cgi using the 'eurek' credentials from unexpected sources, parameter manipulation attempts that bypass validation (such as the space-encoded variant), followed by configuration changes, service enablement commands, and lateral movement attempts. The skill set helps practitioners recognize that this is not a brute-force attack or phishing compromise, but rather exploitation of a known static credential—meaning every NetMan 204 device worldwide shares the same vulnerability. Detection should trigger on any authentication to this endpoint, particularly from external network segments, as the legitimate use case for such administrative access is severely limited and highly suspicious from untrusted sources.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

215 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2025-71317.

analyzing-cloud-storage-access-patterns

cloud security · low

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analyzing-malicious-url-with-urlscan

phishing defense · medium

Run

analyzing-office365-audit-logs-for-compromise

cloud security · low

Run

MITRE ATT&CK Techniques

TA0006

Investigate the attack patterns behind CVE-2025-71317

Casky has 215 skills that investigate the attack patterns behind CVE-2025-71317. Run one and get CVSS-scored findings in 3 minutes.

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