CVE-2026-62240 in crewAI
Summary
by MITRE • 07/14/2026
CrewAI before 1.15.1 contains a server-side request forgery vulnerability in the validate_url function that performs one-shot DNS resolution and blocklist checks before returning the original URL unchanged. Attackers can bypass the security filter by supplying URLs that redirect to internal addresses or use DNS rebinding techniques to access internal services and cloud metadata endpoints.
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Analysis
by VulDB Data Team • 07/14/2026
The vulnerability identified in CrewAI versions prior to 1.15.1 represents a critical server-side request forgery flaw that undermines the application's ability to properly validate external URLs. This security weakness resides within the validate_url function which is designed to perform initial DNS resolution and blocklist verification before returning the original URL unchanged. The function's architecture creates an insufficient barrier against malicious input manipulation that allows unauthorized access to internal network resources. Such vulnerabilities fall under the CWE-918 category of Server-Side Request Forgery, where applications fail to properly validate and sanitize user-supplied URLs before processing them.
The technical implementation of this flaw enables attackers to bypass the intended security controls through several exploitation techniques. The most prominent method involves crafting URLs that utilize HTTP redirects to internal addresses that would otherwise be blocked by the validation process. Since the function performs only one-shot DNS resolution, it fails to account for potential redirect chains that could lead to internal network endpoints. Additionally, sophisticated attackers can employ DNS rebinding techniques to manipulate the DNS resolution process during the validation phase, effectively allowing them to access services that are normally protected from external access.
The operational impact of this vulnerability extends beyond simple unauthorized access to internal resources. Attackers can leverage this flaw to reach cloud metadata endpoints such as AWS metadata service or Azure instance metadata, which often contain sensitive credentials and configuration data. These endpoints typically require specific network routing or authentication mechanisms that should normally be inaccessible from external networks. The vulnerability essentially creates a backdoor that allows attackers to bypass network segmentation controls and gain access to potentially sensitive information stored in internal services.
The security implications of this flaw are particularly severe given the nature of modern cloud deployments where metadata services contain credentials for accessing storage buckets, databases, and other critical infrastructure components. When exploited, this vulnerability can enable comprehensive reconnaissance of the internal network landscape and provide attackers with access to resources that should remain isolated from external threats. The vulnerability's persistence across multiple versions suggests a fundamental design flaw in the URL validation mechanism rather than a simple implementation error.
Organizations utilizing CrewAI should implement immediate mitigations including updating to version 1.15.1 or later where this vulnerability has been addressed. Additional protective measures include implementing strict network-level controls that prevent outbound connections to internal services from applications processing external URLs, deploying web application firewalls with URL validation capabilities, and conducting regular security assessments of URL handling functions within the application. The solution should also incorporate comprehensive logging of URL validation activities to detect potential exploitation attempts. This vulnerability aligns with ATT&CK technique T1071.004 for application layer protocol: DNS where attackers leverage DNS resolution mechanisms to bypass network controls.