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Advisory details: gitlab / pypi/pyload-ng/CVE-2023-0435
Advisory ID gitlab/pypi/pyload-ng/CVE-2023-0435
Aliases CVE-2023-0435
GHSA-6jmx-pv77-wm5w
Summary Excessive Attack Surface in GitHub repository pyload/pyload prior to 0.5.0b3.dev41.
Status Published
Exploitability 0.5
Weighted Severity 0.0
Risk
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (2)
No exploits are available.

No EPSS data available for this advisory.

Patch URL
There are no known patches.
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Found at https://gitlab.com/gitlab-org/advisories-community/-/blob/main/pypi/pyload-ng/CVE-2023-0435.yml
Attack Vector (AV) Attack Complexity (AC) Privileges Required (PR) User Interaction (UI) Scope (S) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

network

adjacent_network

local

physical

low

high

none

low

high

none

required

unchanged

changed

high

low

none

high

low

none

high

low

none

Vector: SSVCv2/E:P/A:Y/T:T/P:M/B:A/M:M/D:R/2025-04-02T15:49:55Z/

Decision: Track*

Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2023/0xxx/CVE-2023-0435.json

Source Advisory: vulnrichment/CVE-2023-0435

View SSVC decision tree
[{'Exploitation': 'poc'},
 {'Automatable': 'yes'},
 {'Technical Impact': 'total'},
 {'Mission Prevalence': 'minimal'},
 {'Public Well-being Impact': 'material'},
 {'Mission & Well-being': 'medium'}]