CVE-2025-11029 (GCVE-0-2025-11029)
Vulnerability from cvelistv5 – Published: 2025-09-26 16:32 – Updated: 2025-09-26 17:51
VLAI
EPSS
VEX
Title
givanz Vvveb cross-site request forgery
Summary
A weakness has been identified in givanz Vvveb up to 1.0.7.2. This vulnerability affects unknown code. Executing manipulation can lead to cross-site request forgery. The attack can be executed remotely. The exploit has been made available to the public and could be exploited. Once again the project maintainer reacted very professional: "I accept the existence of these vulnerabilities. (...) I fixed the code to remove these vulnerabilities and will push the code to github and make a new release."
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-26 17:35 UTC
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.325967 | vdb-entry |
| https://vuldb.com/?ctiid.325967 | signaturepermissions-required |
| https://vuldb.com/?submit.657188 | third-party-advisory |
| https://vuldb.com/?submit.657190 | third-party-advisory |
| https://vuldb.com/?submit.657191 | third-party-advisory |
| https://vuldb.com/?submit.657192 | third-party-advisory |
| https://gist.github.com/KhanMarshaI/165ae8f63ec6b… | related |
| https://gist.github.com/KhanMarshaI/db888b65cfd75… | exploit |
Impacted products
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},
{
"name": "Submit #657191 | givanz Vvveb Vvveb 1.0.7.2 State-Changing GET Request (Duplicate)",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/?submit.657191"
},
{
"name": "Submit #657192 | givanz Vvveb Vvveb 1.0.7.2 State-Changing GET Request (Duplicate)",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/?submit.657192"
},
{
"tags": [
"related"
],
"url": "https://gist.github.com/KhanMarshaI/165ae8f63ec6b5fdf1f4123252499fce"
},
{
"tags": [
"exploit"
],
"url": "https://gist.github.com/KhanMarshaI/db888b65cfd75bead2035348babfb423"
}
],
"timeline": [
{
"lang": "en",
"time": "2025-09-26T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2025-09-26T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2025-09-26T10:29:45.000Z",
"value": "VulDB entry last update"
}
],
"title": "givanz Vvveb cross-site request forgery"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2025-11029",
"datePublished": "2025-09-26T16:32:05.672Z",
"dateReserved": "2025-09-26T08:24:09.505Z",
"dateUpdated": "2025-09-26T17:51:15.246Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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