CVE-2023-34457 (GCVE-0-2023-34457)
Vulnerability from cvelistv5 – Published: 2023-07-05 19:25 – Updated: 2025-02-13 16:55
VLAI
EPSS
VEX
Title
MechanicalSoup vulnerable to malicious web server reading arbitrary files on client using file input inside HTML form
Summary
MechanicalSoup is a Python library for automating interaction with websites. Starting in version 0.2.0 and prior to version 1.3.0, a malicious web server can read arbitrary files on the client using a `<input type="file" ...>` inside HTML form. All users of MechanicalSoup's form submission are affected, unless they took very specific (and manual) steps to reset HTML form field values. Version 1.3.0 contains a patch for this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-24 17:59 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/MechanicalSoup/MechanicalSoup/… | x_refsource_CONFIRM |
| https://github.com/MechanicalSoup/MechanicalSoup/… | x_refsource_MISC |
| https://github.com/MechanicalSoup/MechanicalSoup/… | x_refsource_MISC |
| https://security.netapp.com/advisory/ntap-2023080… |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| MechanicalSoup | MechanicalSoup |
Affected:
>= 0.2.0, < 1.3.0
|
guessed | |
| mechanicalsoup_project | mechanicalsoup |
Affected:
0.2.0 , < 1.3.0
(custom)
cpe:2.3:a:mechanicalsoup_project:mechanicalsoup:*:*:*:*:*:python:*:* |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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