GHSA-VF7G-GWVV-QXXR
Vulnerability from github – Published: 2022-05-14 01:28 – Updated: 2022-05-14 01:28
VLAI
Details
GIG Technology NV JumpScale Portal 7 version before commit 15443122ed2b1cbfd7bdefc048bf106f075becdb contains a CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in method: notifySpaceModification; that can result in Improper validation of parameters results in command execution. This attack appear to be exploitable via Network connectivity, required minimal auth privileges (everyone can register an account). This vulnerability appears to have been fixed in After commit 15443122ed2b1cbfd7bdefc048bf106f075becdb.
Severity
9.8 (Critical)
{
"affected": [],
"aliases": [
"CVE-2018-1000666"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-09-06T17:29:00Z",
"severity": "CRITICAL"
},
"details": "GIG Technology NV JumpScale Portal 7 version before commit 15443122ed2b1cbfd7bdefc048bf106f075becdb contains a CWE-78: Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027) vulnerability in method: notifySpaceModification; that can result in Improper validation of parameters results in command execution. This attack appear to be exploitable via Network connectivity, required minimal auth privileges (everyone can register an account). This vulnerability appears to have been fixed in After commit 15443122ed2b1cbfd7bdefc048bf106f075becdb.",
"id": "GHSA-vf7g-gwvv-qxxr",
"modified": "2022-05-14T01:28:06Z",
"published": "2022-05-14T01:28:06Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-1000666"
},
{
"type": "WEB",
"url": "https://github.com/0-complexity/openvcloud/issues/1207"
},
{
"type": "WEB",
"url": "https://github.com/jumpscale7/jumpscale_portal/pull/108"
},
{
"type": "WEB",
"url": "https://github.com/jumpscale7/jumpscale_portal/blob/c997bb1824862b08246d60e34e950df06ebac68c/apps/portalbase/system/system__contentmanager/methodclass/system_contentmanager.py#L293-L315"
},
{
"type": "WEB",
"url": "https://medium.com/@vrico315/vulnerability-in-jumpscale-portal-7-a88098a1caca"
},
{
"type": "WEB",
"url": "https://telegra.ph/Description-of-vulnerability-in-JumpScale-Portal-7-08-23"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
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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.
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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