GHSA-9Q89-F4H2-5WX7
Vulnerability from github – Published: 2026-08-05 12:31 – Updated: 2026-08-05 12:31
VLAI
Details
Book-Management-System's Flask API endpoints /student, /record, /books, /find_stu_book, and /find_not_return_book are missing the @login_required decorator that protects sibling routes (/search_student, /storage) in the same file. This allows any unauthenticated remote user to retrieve student PII (name, gender, card validity, debt status) and full book-borrowing history by supplying a card_id. Because card_id values are sequential integers, the entire student database can be enumerated without authentication.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2026-71241"
],
"database_specific": {
"cwe_ids": [
"CWE-306"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-05T11:16:26Z",
"severity": "HIGH"
},
"details": "Book-Management-System\u0027s Flask API endpoints /student, /record, /books, /find_stu_book, and /find_not_return_book are missing the @login_required decorator that protects sibling routes (/search_student, /storage) in the same file. This allows any unauthenticated remote user to retrieve student PII (name, gender, card validity, debt status) and full book-borrowing history by supplying a card_id. Because card_id values are sequential integers, the entire student database can be enumerated without authentication.",
"id": "GHSA-9q89-f4h2-5wx7",
"modified": "2026-08-05T12:31:32Z",
"published": "2026-08-05T12:31:32Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-71241"
},
{
"type": "WEB",
"url": "https://github.com/lyric777/Book-Management-System"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"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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