CVE-2022-45061 Details
An issue was discovered in Python before 3.11.1. An unnecessary quadratic algorithm exists in one path when processing some inputs to the IDNA (RFC 3490) decoder, such that a crafted, unreasonably long name being presented to the decoder could lead to a CPU denial of service. Hostnames are often supplied by remote servers that could be controlled by a malicious actor; in such a scenario, they could trigger excessive CPU consumption on the client attempting to make use of an attacker-supplied supposed hostname. For example, the attack payload could be placed in the Location header of an HTTP response with status code 302. A fix is planned in 3.11.1, 3.10.9, 3.9.16, 3.8.16, and 3.7.16.
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Exploit prediction scoring system (EPSS) score for CVE-2022-45061
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.09 Probability of exploitation activity being observed over the next 30 days (27th percentile)
CVSS score for CVE-2022-45061
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
7.5 High
Products affected by CVE-2022-45061
Python 1.5.2
Python 2.1
Python 2.1.3
Python 2.2.1
Python 2.2.2
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Low
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CVE-2022-45061 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 39,620 23.34%
CN 18,585 10.95%
DE 17,462 10.29%
NL 13,773 8.11%
JP 7,321 4.31%
FR 5,606 3.30%
KR 5,349 3.15%
GB 4,123 2.43%
CA 3,823 2.25%
SG 3,471 2.05%

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CVE-2022-45061 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 75,132 71.71%
Telecommunications 19,773 18.87%
Education 6,232 5.95%
Government/Politics 809 0.77%
Energy/Resources 505 0.48%
Business Services 437 0.42%
Media/Entertainment 424 0.40%
Real Estate 286 0.27%
Retail 225 0.21%
Utilities 172 0.16%

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