Python Vulnerabilities

Timeline

The analysis of the timeline helps to identify the required approach and handling of single vulnerabilities and vulnerability collections. This overview makes it possible to see less important slices and more severe hotspots at a glance. Initiating immediate vulnerability response and prioritizing of issues is possible.

Last Year

The analysis of the timeline helps to identify the required approach and handling of single vulnerabilities and vulnerability collections. This overview makes it possible to see less important slices and more severe hotspots at a glance. Initiating immediate vulnerability response and prioritizing of issues is possible.

Version

3.224
3.123
2.7.523
3.022
3.321

Grouping all affected versions of a specific product helps to determine existing issues. This makes it possible to determine vendors and products which need attention when it comes to remediations.

Remediation

Official Fix147
Temporary Fix0
Workaround0
Unavailable1
Not Defined77

Vendors and researchers are eager to find countermeasures to mitigate security vulnerabilities. These can be distinguished between multiple forms and levels of remediation which influence risks differently.

Exploitability

High2
Functional0
Proof-of-Concept40
Unproven7
Not Defined176

Researcher and attacker which are looking for security vulnerabilities try to exploit them for academic purposes or personal gain. The level and quality of exploitability can be distinguished to determine simplicity and strength of attacks.

Access Vector

Not Defined0
Physical0
Local32
Adjacent29
Network164

The approach a vulnerability it becomes important to use the expected access vector. This is typically via the network, local, or physically even.

Authentication

Not Defined0
High1
Low63
None161

To exploit a vulnerability a certail level of authentication might be required. Vulnerabilities without such a requirement are much more popular.

User Interaction

Not Defined0
Required26
None199

Some attack scenarios require some user interaction by a victim. This is typical for phishing, social engineering and cross site scripting attacks.

C3BM Index

Our unique C3BM Index (CVSSv3 Base Meta Index) cumulates the CVSSv3 Meta Base Scores of all entries over time. Comparing this index to the amount of disclosed vulnerabilities helps to pinpoint the most important events.

Last Year

Our unique C3BM Index (CVSSv3 Base Meta Index) cumulates the CVSSv3 Meta Base Scores of all entries over time. Comparing this index to the amount of disclosed vulnerabilities helps to pinpoint the most important events.

CVSSv3 Base

≤10
≤20
≤31
≤48
≤521
≤648
≤761
≤861
≤917
≤108

The Common Vulnerability Scoring System (CVSS) is an industry standard to define the characteristics and impacts of security vulnerabilities. The base score represents the intrinsic aspects that are constant over time and across user environments. Our unique meta score merges all available scores from different sources to aggregate to the most reliable result.

CVSSv3 Temp

≤10
≤20
≤31
≤410
≤530
≤649
≤772
≤842
≤917
≤104

The Common Vulnerability Scoring System (CVSS) uses temp scores to reflect the characteristics of a vulnerability that may change over time but not across user environments. This includes reporting confidence, exploitability and remediation levels. We do also provide our unique meta score for temp scores, even though other sources rarely publish them.

VulDB

≤10
≤20
≤32
≤419
≤520
≤685
≤729
≤856
≤96
≤108

The moderation team is always defining the base vector and base score for an entry. These and all other available scores are used to generate the meta score.

NVD

≤10
≤20
≤31
≤43
≤53
≤612
≤714
≤842
≤910
≤1026

The National Vulnerability Database (NVD) is also defining CVSS vectors and scores. These are usually not complete and might differ from VulDB scores.

CNA

≤10
≤20
≤30
≤42
≤56
≤68
≤73
≤89
≤93
≤103

A CVE Numbering Authority (CNA) is responsible for assigning new CVE entries. They might also include a CVSS score. These are usually not complete and might differ from VulDB scores.

Vendor

≤10
≤20
≤30
≤40
≤50
≤60
≤70
≤80
≤90
≤100

Some vendors are willing to publish their own CVSS vectors and scores for vulnerabilities in their products. The coverage varies from vendor to vendor.

Research

≤10
≤20
≤30
≤40
≤50
≤60
≤70
≤80
≤90
≤100

There are sometimes also security researcher which provide their own CVSS vectors and scores for vulnerabilities they have found and published.

Exploit 0-day

<1k32
<2k118
<5k63
<10k3
<25k5
<50k4
<100k0
≥100k0

The moderation team is working with the threat intelligence team to determine prices for exploits. Our unique algorithm is used to identify the 0-day prices for an exploit, before it got distributed or became public. Calculated prices are aligned to prices disclosed by vulnerability broker and compared to prices we see on exploit markets.

Exploit Today

<1k214
<2k7
<5k3
<10k1
<25k0
<50k0
<100k0
≥100k0

The 0-day prices do not consider time-relevant factors. The today price does reflect price impacts like disclosure of vulnerability details, alternative exploits, availability of countermeasures. These dynamic aspects might decrease the exploit prices over time. Under certain circumstances this happens very fast.

Exploit Market Volume

Our unique calculation of exploit prices makes it possible to forecast the expected exploit market volume. The calculated prices for all possible 0-day expoits are cumulated for this task. Comparing the volume to the amount of disclosed vulnerabilities helps to pinpoint the most important events.

Last Year

Our unique calculation of exploit prices makes it possible to forecast the expected exploit market volume. The calculated prices for all possible 0-day expoits are cumulated for this task. Comparing the volume to the amount of disclosed vulnerabilities helps to pinpoint the most important events.

🔴 CTI Activities

Our unique Cyber Threat Intelligence aims to determine the ongoing research of actors to anticipiate their acitivities. Observing exploit markets on the Darknet, discussions of vulnerabilities on mailinglists, and exchanges on social media makes it possible to identify planned attacks. Monitored actors and activities are classified whether they are offensive or defensive. They are also weighted as some actors are well-known for certain products and technologies. And some of their disclosures might contain more or less details about technical aspects and personal context. The world map highlights active actors in real-time.

Affected Versions (478): 0.0.1, 0.0.2, 0.0.3, 0.0.4, 0.0.5, 0.0.6, 0.0.7, 0.0.8, 0.0.9, 0.0.11, 0.0.12, 0.0.13, 0.0.14, 0.0.15, 0.0.16, 0.0.17, 0.0.18, 0.0.19, 0.0.21, 0.0.22, 0.0.23, 0.0.24, 0.0.25, 0.0.26, 0.0.27, 0.0.28, 0.0.29, 0.0.31, 0.0.32, 0.0.33, 0.0.34, 0.0.35, 0.0.36, 0.0.37, 0.0.38, 0.0.39, 0.0.41, 0.0.42, 0.0.43, 0.0.44, 0.0.45, 0.0.46, 0.0.47, 0.0.48, 0.0.49, 0.0.51, 0.0.52, 0.1, 0.2, 0.2.1, 0.2.2, 0.2.3, 0.2.4, 0.2.5, 0.2.6, 0.2.7, 0.2.8, 0.2.9, 0.2.11, 0.2.12, 0.2.13, 0.2.14, 0.2.15, 0.2.16, 0.2.17, 0.2.18, 0.2.19, 0.2.21, 0.2.22, 0.2.23, 0.2.24, 0.2.25, 0.2.26, 0.2.27, 0.2.28, 0.2.29, 0.2.31, 0.2.32, 0.2.33, 0.2.34, 0.2.35, 0.2.36, 0.2.37, 0.2.38, 0.2.39, 0.2.41, 0.2.42, 0.2.43, 0.2.44, 0.2.45, 0.2.46, 0.2.47, 0.2.48, 0.2.49, 0.2.51, 0.2.52, 0.2.53, 0.2.54, 0.2.55, 0.2.56, 0.2.57, 0.2.58, 0.2.59, 0.2.61, 0.2.62, 0.2.63, 0.2.64, 0.2.65, 0.2.66, 0.2.67, 0.2.68, 0.2.69, 0.2.71, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.3.6, 0.4, 0.4.2, 0.4.3, 0.5, 0.5.1, 0.5.2, 0.6, 0.7, 0.7.1, 0.7.2, 0.7.3, 0.7.5, 0.8, 0.8.1, 0.8.2, 0.8.3, 0.8.4, 0.8.5, 0.9, 0.9.1, 0.10, 0.11, 0.12, 0.13, 0.13.1, 0.13.2, 0.14, 0.15, 0.16, 0.17, 0.18, 0.18.1, 0.18.2, 0.19, 0.20, 0.21, 0.22, 0.23, 0.24, 1, 1.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.0.6, 1.0.7, 1.1, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 1.1.5, 1.1.6, 1.1.7, 1.2, 1.3, 1.3.1, 1.4, 1.5, 1.5.2, 1.6, 1.6.1, 1.6.2, 1.6.3, 1.6.4, 1.6.5, 1.7, 1.8, 1.9, 1.10, 1.11, 1.12, 1.13, 1.14, 1.17, 2, 2.0, 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.1, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.1.5, 2.1.6, 2.1.7, 2.1.8, 2.1.9, 2.1.11, 2.1.12, 2.1.13, 2.1.14, 2.1.15, 2.2, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.2.6, 2.2.7, 2.2.8, 2.2.9, 2.2.11, 2.2.12, 2.2.13, 2.2.14, 2.2.15, 2.2.16, 2.2.17, 2.2.18, 2.2.19, 2.2.21, 2.3, 2.3.0-1, 2.3.0-2, 2.3.0-3, 2.3.0-4, 2.3.0-5, 2.3.0-5.1, 2.3.0-6, 2.3.1, 2.3.1-1, 2.3.1-2, 2.3.1-3, 2.3.1-4, 2.3.2, 2.3.3, 2.3.4, 2.3.5, 2.3.6, 2.3.7, 2.3.8, 2.4, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.4.5, 2.4.6, 2.5, 2.5 Alpha 1, 2.5 Alpha 2, 2.5 Beta 1, 2.5 Beta 2, 2.5 Beta 3, 2.5 Final, 2.5 Release Candidate 1, 2.5 Release Candidate 2, 2.5.1, 2.5.2, 2.5.3, 2.5.4, 2.5.6, 2.6, 2.6.1, 2.6.2, 2.6.3, 2.6.4, 2.6.5, 2.6.6, 2.6.7, 2.6.8, 2.6.215, 2.6.615, 2.7, 2.7.1, 2.7.2, 2.7.3, 2.7.4, 2.7.5, 2.7.6, 2.7.7, 2.7.8, 2.7.9, 2.7.11, 2.7.12, 2.7.13, 2.7.14, 2.7.15, 2.7.16, 2.7.17, 2.7.18, 2.7.115, 2.7.215, 2.214, 2.214.1, 2.214.2, 2.217, 3, 3.0, 3.0.1, 3.1, 3.1.1, 3.1.2, 3.1.3, 3.1.4, 3.1.5, 3.1.215, 3.2, 3.2.1, 3.2.2, 3.2.3, 3.2.4, 3.2.5, 3.2.6, 3.2.215, 3.2.2149, 3.3, 3.3.1, 3.3.2, 3.3.3, 3.3.3 RC 1, 3.3.4, 3.3.5, 3.3.6, 3.4, 3.4.1, 3.4.2, 3.4.3, 3.4.4, 3.4.5, 3.4.6, 3.4.7, 3.4.8, 3.5, 3.5.1, 3.5.2, 3.5.3, 3.5.4, 3.5.5, 3.5.6, 3.5.7, 3.5.8, 3.5.9, 3.6, 3.6.1, 3.6.2, 3.6.3, 3.6.4, 3.6.5, 3.6.6, 3.6.7, 3.6.8, 3.6.9, 3.6.11, 3.6.12, 3.6.13, 3.7, 3.7.1, 3.7.2, 3.7.3, 3.7.4, 3.7.5, 3.7.6, 3.7.7, 3.7.8, 3.7.9, 3.7.11, 3.7.12, 3.7.13, 3.7.14, 3.7.15, 3.8, 3.8.0b1, 3.8.1, 3.8.2, 3.8.3, 3.8.4, 3.8.4rc1, 3.8.5, 3.8.6, 3.8.7, 3.8.8, 3.8.9, 3.8.11, 3.8.12, 3.8.13, 3.8.14, 3.8.15, 3.8.16, 3.8.17, 3.9, 3.9.0b4, 3.9.1, 3.9.2, 3.9.3, 3.9.4, 3.9.5, 3.9.6, 3.9.7, 3.9.8, 3.9.9, 3.9.11, 3.9.12, 3.9.13, 3.9.14, 3.9.15, 3.9.16, 3.9.17, 3.10, 3.10.0a6, 3.10.1, 3.10.2, 3.10.3, 3.10.4, 3.10.5, 3.10.6, 3.10.7, 3.10.8, 3.10.9, 3.10.11, 3.10.12, 3.11, 3.11.1, 3.11.2, 3.11.3, 3.11.4, 3.12, 3.13, 3.14, 3.15, 3.16, 3.17, 3.18, 3.19, 3.20, 3.21, 3.22, 3.23, 4.0, 4.2.2-1, 5.6, 5.6.1, 5.6.2, 5.6.3, 5.6.4, 5.6.5, 10.0, 10.1, 10.2, 14.0, 20.12, 20.12.1, 20.12.2, 21.0, 100, 2018, 2018 Update 1, 2019-09-16, 2020, 2021-03-31, 2022-05-04

Software Type: Programming Language Software

PublishedBaseTempVulnerability0dayTodayExpRemCTICVE
05/10/20247.97.9abetlen llama-cpp-python llama.py to_chat_handler equivalent special elements$0-$5k$0-$5kNot DefinedNot Defined0.04CVE-2024-34359
05/03/20247.87.6Amazon sagemaker-python-sdk os command injection$0-$5k$0-$5kNot DefinedOfficial Fix0.08CVE-2024-34073
05/03/20248.38.1Amazon sagemaker-python-sdk sagemaker.base_deserializers.NumpyDeserializer deserialization$0-$5k$0-$5kNot DefinedOfficial Fix0.04CVE-2024-34072
04/26/20245.55.5python-jose OpenSSH ECDSA Key Privilege Escalation$0-$5k$0-$5kNot DefinedNot Defined0.04CVE-2024-33663
04/26/20244.34.1python-jose JWE Token JWT Bomb resource consumption$0-$5k$0-$5kNot DefinedOfficial Fix0.03CVE-2024-33664
04/02/20246.16.0python-pillow _imagingcms.c buffer overflow$0-$5k$0-$5kNot DefinedOfficial Fix0.05CVE-2024-28219
02/22/20246.86.7FelixSchwarz mjml-python input validation$0-$5k$0-$5kNot DefinedOfficial Fix0.07CVE-2024-26151
02/01/20244.54.5python-glance-store debug log file$0-$5k$0-$5kNot DefinedNot Defined0.02CVE-2024-1141
01/23/20246.56.5python-ecdsa Minerva covert timing channel$0-$5k$0-$5kNot DefinedNot Defined0.00CVE-2024-23342
12/29/20236.46.3Microsoft Python Extension for Visual Studio Code Remote Code Execution$5k-$25k$0-$5kNot DefinedOfficial Fix0.03CVE-2020-17163
11/01/20236.06.0Red Hat python-eventlet denial of service$5k-$25k$0-$5kNot DefinedOfficial Fix0.02CVE-2023-5625
10/26/20235.45.4Elastic Sharepoint Online Python Connector SPO Limited Access access control$0-$5k$0-$5kNot DefinedNot Defined0.04CVE-2023-46666
10/06/20238.48.4NI MeasurementLink Python Services unprotected alternate channel$0-$5k$0-$5kNot DefinedNot Defined0.00CVE-2023-4570
08/25/20234.54.4Python TLS Client Authentication initialization$0-$5k$0-$5kNot DefinedOfficial Fix0.00CVE-2023-40217
08/23/20236.56.4Python os.path.normpath untrusted search path$0-$5k$0-$5kNot DefinedOfficial Fix0.00CVE-2023-41105
08/23/20237.67.6Python plistlib Module xml external entity reference$0-$5k$0-$5kNot DefinedNot Defined0.02CVE-2022-48565
08/23/20237.47.4Python heapq heappushpop use after free$0-$5k$0-$5kNot DefinedNot Defined0.03CVE-2022-48560
08/23/20236.36.3Python hmac.py hmac.compare_digest comparison$0-$5k$0-$5kNot DefinedNot Defined0.03CVE-2022-48566
08/23/20235.95.9Python Apple Property List File plistlib.py read_ints resource consumption$0-$5k$0-$5kNot DefinedNot Defined0.00CVE-2022-48564
06/26/20236.46.1Python email.utils.parseaddr recursion$0-$5k$0-$5kProof-of-ConceptNot Defined0.16CVE-2023-36632
05/04/20237.67.5python-django unrestricted upload$0-$5k$0-$5kNot DefinedOfficial Fix0.07CVE-2023-31047
04/22/20236.46.4Python xmlrpc Client Library gzip_decode resource consumption$0-$5k$0-$5kNot DefinedNot Defined0.00CVE-2013-1753
04/21/20238.58.3Python CGIHTTPServer Module path traversal$0-$5k$0-$5kProof-of-ConceptNot Defined0.05CVE-2014-4650
04/21/20236.46.3Encode Starlette Python Framework Form Field resource consumption$0-$5k$0-$5kNot DefinedOfficial Fix0.00CVE-2023-30798
04/19/20236.36.1Python E-mail Module unknown vulnerability$0-$5k$0-$5kProof-of-ConceptNot Defined0.04CVE-2023-27043

200 more entries are not shown

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