Silent Default Credentials in Apache Solr Authentication Setup

Hardcoded credentials in the Basic Authentication setup tool (bin/solr auth enable) in Apache Solr versions 9.4.0 through 9.10.1 and 10.0.0 allows a remote attacker to gain full administrative access to the cluster via publicly known default credentials installed silently alongside the user-specified account. As an immediate workaround without upgrading, delete the template users (superadmin, admin, search, index) from security.json or change their passwords. The future, not yet released, versions 9.11.0 and 10.1.0 will not be vulnerable, and it will be enough to upgrade to solve the issue. Not affected: * Clusters where bin/solr auth enable was not used to bootstrap BasicAuth * Clusters where template users have been assigned strong passwords after bootstrap

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

Apache Solr versions 9.4.0 through 9.10.1 and 10.0.0 contain hardcoded default credentials that are silently installed during the Basic Authentication setup process, independent of any user-specified accounts. This vulnerability (CWE-798: Use of Hardcoded Credentials, CWE-1188: Initialization with Hard-Coded Network Resource Configuration Data) allows remote attackers to bypass authentication and gain full administrative access to Solr clusters using publicly known template credentials (superadmin, admin, search, index). Organizations running affected Solr versions face critical risk of unauthorized cluster administration, data exfiltration, and service disruption. The silent installation nature makes this particularly dangerous—administrators may believe they've secured their clusters with custom credentials while default accounts remain active and exploitable.

Casky's 215 mapped security skills leverage Claude AI's extended reasoning to detect the attack patterns associated with TA0006 (Credential Access) techniques underlying this vulnerability. Practitioners using Casky would identify suspicious authentication patterns such as: successful logins using template usernames from unexpected network locations, privilege escalation events immediately following Basic Authentication tool execution, and administrative API calls authenticated with default account credentials. The platform's skills map attack indicators across authentication logs, API access patterns, and configuration changes—enabling detection of both initial credential compromise and post-exploitation cluster administration activities. By correlating these signals against MITRE ATT&CK frameworks, security teams can distinguish between legitimate administrative access and adversarial credential abuse before cluster compromise occurs.

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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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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-2026-44825.

Access with Stolen Session Cookie

cryptography · low

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Access with Stolen Session Cookie

penetration testing · medium

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Access with Stolen Session Cookie

identity access management · low

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MITRE ATT&CK Techniques

TA0006

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