d8s-networking 0.1.0 on Python backdoor

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.6$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in d8s-networking 0.1.0 on Python. This vulnerability affects unknown code. Performing a manipulation results in backdoor. This vulnerability is identified as CVE-2022-44053. There is not any exploit available.

Detailsinfo

A vulnerability, which was classified as critical, was found in d8s-networking 0.1.0 on Python. This affects some unknown processing. The manipulation with an unknown input leads to a backdoor vulnerability. CWE is classifying the issue as CWE-912. The product contains functionality that is not documented, not part of the specification, and not accessible through an interface or command sequence that is obvious to the product's users or administrators. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

The d8s-networking for python, as distributed on PyPI, included a potential code-execution backdoor inserted by a third party. A potential code execution backdoor inserted by third parties is the democritus-user-agents package. The affected version of d8s-htm is 0.1.0.

The weakness was released 11/07/2022 as 17. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-44053 since 10/30/2022. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1588.001 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2022-0064). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Backdoor
CWE: CWE-912
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

10/30/2022 🔍
11/07/2022 +8 days 🔍
11/07/2022 +0 days 🔍
03/09/2026 +1218 days 🔍

Sourcesinfo

Advisory: 17
Status: Not defined

CVE: CVE-2022-44053 (🔍)
GCVE (CVE): GCVE-0-2022-44053
GCVE (VulDB): GCVE-100-213051
EUVD: 🔍

Entryinfo

Created: 11/07/2022 21:53
Updated: 03/09/2026 02:22
Changes: 11/07/2022 21:53 (38), 12/05/2022 09:41 (12), 03/09/2026 02:22 (16)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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