GSD-2022-36065
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
GrowthBook is an open-source platform for feature flagging and A/B testing. With some self-hosted configurations in versions prior to 2022-08-29, attackers can register new accounts and upload files to arbitrary directories within the container. If the attacker uploads a Python script to the right location, they can execute arbitrary code within the container. To be affected, ALL of the following must be true: Self-hosted deployment (GrowthBook Cloud is unaffected); using local file uploads (as opposed to S3 or Google Cloud Storage); NODE_ENV set to a non-production value and JWT_SECRET set to an easily guessable string like `dev`. This issue is patched in commit 1a5edff8786d141161bf880c2fd9ccbe2850a264 (2022-08-29). As a workaround, set `JWT_SECRET` environment variable to a long random string. This will stop arbitrary file uploads, but the only way to stop attackers from registering accounts is by updating to the latest build.
Aliases
Aliases
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"id": "GSD-2022-36065"
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"modified": "2023-12-13T01:19:21.900798Z",
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"lastModifiedDate": "2023-07-21T20:52Z",
"publishedDate": "2022-09-06T21:15Z"
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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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