CVE-2012-1150 Details
Python before 2.6.8, 2.7.x before 2.7.3, 3.x before 3.1.5, and 3.2.x before 3.2.3 computes hash values without restricting the ability to trigger hash collisions predictably, which allows context-dependent attackers to cause a denial of service (CPU consumption) via crafted input to an application that maintains a hash table.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2012-1150
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%).
5.06 Probability of exploitation activity being observed over the next 30 days (91st percentile)
CVSS score for CVE-2012-1150
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.
5 Medium
Products affected by CVE-2012-1150
Python 2.2.3
Python 2.3
Python 2.3.3
Python 2.3.4
Python 2.3.5
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.
Not available
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CVE-2012-1150 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
DE 5,209 34.88%
JP 1,504 10.07%
US 1,486 9.95%
AT 673 4.51%
KR 619 4.14%
CZ 534 3.58%
CN 445 2.98%
RU 382 2.56%
GB 310 2.08%
IT 293 1.96%

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CVE-2012-1150 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 4,752 62.98%
Telecommunications 2,073 27.48%
Education 235 3.11%
Legal 163 2.16%
Business Services 150 1.99%
Government/Politics 59 0.78%
Transportation 26 0.34%
Retail 22 0.29%
Finance 18 0.24%
Consumer Goods 9 0.12%

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