CVE-2024-55637 (GCVE-0-2024-55637)
Vulnerability from cvelistv5 – Published: 2024-12-09 23:25 – Updated: 2024-12-16 17:10
VLAI
EPSS
VEX
Title
Drupal core - Moderately critical - Gadget chain - SA-CORE-2024-007
Summary
Deserialization of Untrusted Data vulnerability in Drupal Core allows Object Injection.This issue affects Drupal Core: from 8.0.0 before 10.2.11, from 10.3.0 before 10.3.9, from 11.0.0 before 11.0.8.
Drupal core contains a chain of methods that is exploitable when an insecure deserialization vulnerability exists on the site. This so-called gadget chain presents no direct threat but is a vector that can be used to achieve remote code execution if the application deserializes untrusted data due to another vulnerability.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-12-10 21:20 UTC
CWE
- CWE-915 - Improperly Controlled Modification of Dynamically-Determined Object Attributes
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Drupal | Drupal Core |
Affected:
8.0.0 , < 10.2.11
(semver)
Affected: 10.3.0 , < 10.3.9 (semver) Affected: 11.0.0 , < 11.0.8 (semver) |
guessed |
Date Public
2024-11-21 03:23
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
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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.
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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.