A flaw was found in python. In algorithms with quadratic time complexity using non-binary bases, when using int("text"), a system could take 50ms to parse an int string with 100,000 digits and 5s for 1,000,000 digits (float, decimal, int.from_bytes(), and int() for binary bases 2, 4, 8, 16, and 32 are not affected). The highest threat from this vulnerability is to system availability.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.5, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts and availability (service disruption) for affected systems. Impacting 5 products from python, from redhat, from redhat and 2 others, organizations running these solutions should prioritize assessment and patching.
Reported in 2022, 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.
2022-09-09T14:15:08.660
2025-11-03T22:15:46.173
Modified
CVSSv3.1: 7.5 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | python | python | < 3.7.14 | Yes |
| Application | python | python | < 3.8.14 | Yes |
| Application | python | python | < 3.9.14 | Yes |
| Application | python | python | < 3.10.7 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | python | python | 3.11.0 | Yes |
| Application | redhat | quay | 3.0.0 | Yes |
| Application | redhat | software_collections | - | Yes |
| Operating System | fedoraproject | fedora | 35 | Yes |
| Operating System | fedoraproject | fedora | 36 | Yes |
| Operating System | fedoraproject | fedora | 37 | Yes |
| Operating System | redhat | enterprise_linux | 8.0 | 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 python'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.