Conda-build contains commands and tools to build conda packages. Prior to version 25.3.1, the write_build_scripts function in conda-build creates the temporary build script conda_build.sh with overly permissive file permissions (0o766), allowing write access to all users. Attackers with filesystem access can exploit a race condition to overwrite the script before execution, enabling arbitrary code execution under the victim's privileges. This risk is significant in shared environments, potentially leading to full system compromise. Even with non-static directory names, attackers can monitor parent directories for file creation events. The brief window between script creation (with insecure permissions) and execution allows rapid overwrites. Directory names can also be inferred via timestamps or logs, and automation enables exploitation even with semi-randomized paths by acting within milliseconds of detection. This issue has been patched in version 25.3.1. A workaround involves restricting conda_build.sh permissions from 0o766 to 0o700 (owner-only read/write/execute). Additionally, use atomic file creation (write to a temporary randomized filename and rename atomically) to minimize the race condition window.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.0, requiring local system access to exploit but requires specific conditions to be met without requiring user interaction requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 1 product from anaconda organizations running these solutions should prioritize assessment and patching.
Reported in 2025, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2025-06-16T19:15:33.510
2025-08-11T18:42:30.550
Analyzed
CVSSv3.1: 7.0 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | anaconda | conda-build | < 25.3.1 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For anaconda's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.