CVE-2024-12956 (GCVE-0-2024-12956)
Vulnerability from cvelistv5 – Published: 2024-12-26 15:00 – Updated: 2024-12-26 15:25
VLAI
EPSS
VEX
Title
1000 Projects Portfolio Management System MCA add_achievement_details.php unrestricted upload
Summary
A vulnerability was found in 1000 Projects Portfolio Management System MCA 1.0 and classified as critical. This issue affects some unknown processing of the file /add_achievement_details.php. The manipulation of the argument ach_certy leads to unrestricted upload. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used.
Severity
6.3 (Medium)
6.3 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-12-26 15:25 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.289319 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.289319 | signaturepermissions-required |
| https://vuldb.com/?submit.468540 | third-party-advisory |
| https://github.com/dawatermelon/CVE/blob/main/Por… | exploit |
| https://1000projects.org/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| 1000 Projects | Portfolio Management System MCA |
Affected:
1.0
|
guessed |
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{
"lang": "de",
"value": "Eine kritische Schwachstelle wurde in 1000 Projects Portfolio Management System MCA 1.0 gefunden. Hierbei geht es um eine nicht exakt ausgemachte Funktion der Datei /add_achievement_details.php. Durch Manipulieren des Arguments ach_certy mit unbekannten Daten kann eine unrestricted upload-Schwachstelle ausgenutzt werden. Umgesetzt werden kann der Angriff \u00fcber das Netzwerk. Der Exploit steht zur \u00f6ffentlichen Verf\u00fcgung."
}
],
"metrics": [
{
"cvssV4_0": {
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N",
"version": "4.0"
}
},
{
"cvssV3_1": {
"baseScore": 6.3,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
"version": "3.1"
}
},
{
"cvssV3_0": {
"baseScore": 6.3,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
"version": "3.0"
}
},
{
"cvssV2_0": {
"baseScore": 6.5,
"vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
"version": "2.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-434",
"description": "Unrestricted Upload",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-284",
"description": "Improper Access Controls",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-12-26T15:00:14.001Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
},
"references": [
{
"name": "VDB-289319 | 1000 Projects Portfolio Management System MCA add_achievement_details.php unrestricted upload",
"tags": [
"vdb-entry",
"technical-description"
],
"url": "https://vuldb.com/?id.289319"
},
{
"name": "VDB-289319 | CTI Indicators (IOB, IOC, TTP, IOA)",
"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/?ctiid.289319"
},
{
"name": "Submit #468540 | 1000 Projects Portfolio Management System MCA Project v1.0 Unrestricted Upload",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/?submit.468540"
},
{
"tags": [
"exploit"
],
"url": "https://github.com/dawatermelon/CVE/blob/main/Portfolio%20Management%20System%20MCA%20Project/README2.md"
},
{
"tags": [
"product"
],
"url": "https://1000projects.org/"
}
],
"timeline": [
{
"lang": "en",
"time": "2024-12-25T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2024-12-25T01:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2024-12-25T19:33:46.000Z",
"value": "VulDB entry last update"
}
],
"title": "1000 Projects Portfolio Management System MCA add_achievement_details.php unrestricted upload"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2024-12956",
"datePublished": "2024-12-26T15:00:14.001Z",
"dateReserved": "2024-12-25T18:28:43.229Z",
"dateUpdated": "2024-12-26T15:25:37.840Z",
"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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