CVE-2023-7097 (GCVE-0-2023-7097)
Vulnerability from cvelistv5 – Published: 2023-12-25 01:31 – Updated: 2024-09-09 19:52
VLAI
EPSS
VEX
Title
code-projects Water Billing System addbill.php sql injection
Summary
A vulnerability classified as critical has been found in code-projects Water Billing System 1.0. This affects an unknown part of the file /addbill.php. The manipulation of the argument owners_id leads to sql injection. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-248949 was assigned to this vulnerability.
Severity
6.3 (Medium)
6.3 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-09 19:52 UTC
CWE
- CWE-89 - SQL Injection
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.248949 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.248949 | signaturepermissions-required |
| https://github.com/Glunko/vulnerability/blob/main… | exploit |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| code-projects | Water Billing System |
Affected:
1.0
|
guessed |
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"timeline": [
{
"lang": "en",
"time": "2023-12-24T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2023-12-24T01:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2023-12-24T12:08:47.000Z",
"value": "VulDB entry last update"
}
],
"title": "code-projects Water Billing System addbill.php sql injection"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2023-7097",
"datePublished": "2023-12-25T01:31:03.664Z",
"dateReserved": "2023-12-24T11:03:39.297Z",
"dateUpdated": "2024-09-09T19:52:50.593Z",
"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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