GCVE-1-2025-0022
Vulnerability from gna-1 – Published: 2025-11-26 16:04 – Updated: 2025-12-02 08:49
VLAI
EPSS
VEX
Title
Clarified setting's impact on download_attachments_on_load
Summary
download_attachments_on_load is set to true by default, but setting this to false introduces a potential security risk. Clarified this in the setting
Severity
CWE
Assigner
GNA-1
This instance
References
1 reference
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"attackRequirements": "NONE",
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"vulnerabilityResponseEffort": "NOT_DEFINED"
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"url": "https://github.com/misp/misp/commit/5410685896b89aed11ace870b9c22c17752d1807"
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"source": {
"discovery": "UNKNOWN"
},
"title": "Clarified setting\u0027s impact on download_attachments_on_load",
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"dateUpdated": "2025-12-02T08:49:04.510294Z",
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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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