CVE-2023-40217 Details
An issue was discovered in Python before 3.8.18, 3.9.x before 3.9.18, 3.10.x before 3.10.13, and 3.11.x before 3.11.5. It primarily affects servers (such as HTTP servers) that use TLS client authentication. If a TLS server-side socket is created, receives data into the socket buffer, and then is closed quickly, there is a brief window where the SSLSocket instance will detect the socket as "not connected" and won't initiate a handshake, but buffered data will still be readable from the socket buffer. This data will not be authenticated if the server-side TLS peer is expecting client certificate authentication, and is indistinguishable from valid TLS stream data. Data is limited in size to the amount that will fit in the buffer. (The TLS connection cannot directly be used for data exfiltration because the vulnerable code path requires that the connection be closed on initialization of the SSLSocket.)
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Exploit prediction scoring system (EPSS) score for CVE-2023-40217
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%).
0.58 Probability of exploitation activity being observed over the next 30 days (68th percentile)
CVSS score for CVE-2023-40217
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.
5.3 Medium
Products affected by CVE-2023-40217
Python 2.6.8
Python 2.6.9
Python 2.7
Python 2.7.0
Python 2.7.1
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-2023-40217 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 62,113 25.39%
CN 24,878 10.17%
DE 24,572 10.04%
NL 15,613 6.38%
JP 9,440 3.86%
FR 7,807 3.19%
KR 6,736 2.75%
GB 6,577 2.69%
SG 5,458 2.23%
IN 5,035 2.06%

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CVE-2023-40217 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 117,550 74.13%
Telecommunications 27,584 17.39%
Education 9,080 5.73%
Government/Politics 919 0.58%
Business Services 630 0.40%
Energy/Resources 537 0.34%
Media/Entertainment 472 0.30%
Retail 384 0.24%
Real Estate 302 0.19%
Utilities 201 0.13%

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