Xml External Entities in Flask with Bearer Tokens
Xml External Entities in Flask with Bearer Tokens — how this specific combination creates or exposes the vulnerability
XML External Entity (XXE) injection occurs when an application parses XML input and allows an attacker to define external entities, leading to local file reads, SSRF, or denial of service. In Flask, this typically arises when you use an XML parser that processes external DTDs or entities without disabling them. When Bearer tokens are involved, the risk pattern changes: tokens are often transmitted in HTTP headers (e.g., Authorization: Bearer <token>), and developers may inadvertently include those headers in XML payloads or log XML bodies that contain token-like values, expanding the impact of a successful XXE.
Consider a Flask endpoint that accepts XML to configure a document or to validate a structured payload. If the endpoint parses XML using a non-hardened parser (for example, lxml with external_dtd=True or xml.etree with unsafe entity resolution), an attacker can supply an external entity such as <!ENTITY file SYSTEM "file:///etc/passwd"> and cause the parser to read sensitive files. If the request also includes a Bearer token in the Authorization header, the token is not directly exploited by the XXE itself, but the combination exposes two issues: the endpoint may log or reflect headers in error messages, and parsed XML might be used in downstream requests that forward the token.
Moreover, if your Flask service accepts XML that includes credentials or tokens (for example, embedding a bearer-like value inside XML elements), an XXE can exfiltrate those values by referencing an external entity that sends data to an attacker-controlled endpoint. This turns a configuration or document-processing endpoint into a data leak channel. Real-world examples include services that parse uploaded XML configuration files or SOAP-based APIs that do not disable external entity resolution. The OWASP API Security Top 10 and related CWE entries (such as CWE-611 and CWE-918) highlight these risks when XML processing is not properly sandboxed.
To identify this using middleBrick, you can submit your Flask service URL for a black-box scan. The scanner runs parallel checks including Input Validation and Data Exposure, and it can detect whether your XML parsing paths allow external entity resolution. If your API specification (OpenAPI/Swagger 2.0/3.0/3.1) describes XML payloads, middleBrick resolves $ref definitions and cross-references them with runtime behavior, increasing the likelihood of finding misconfigured parsers that could be abused in combination with Bearer token handling.
An example of vulnerable Flask code that parses XML without disabling external entities:
from flask import Flask, request, jsonify
from lxml import etree
import logging
app = Flask(__name__)
@app.route("/parse", methods=["POST"])
def parse_xml():
# Vulnerable: external DTDs and entities are enabled by default in lxml
data = request.get_data()
try:
tree = etree.XML(data) # potentially unsafe if external entities are not disabled
root = tree.getroot()
# Example: extracting a value that might contain or leak tokens
value = root.findtext("token")
return jsonify({"token_value": value})
except Exception as e:
logging.error(f"Parse error: {e}")
return jsonify({"error": "invalid XML"}), 400
In this snippet, an attacker can send an XML payload with an external entity to read files or interact with internal resources. If the request includes Authorization: Bearer <token>, the token is handled normally by Flask, but if your application logs or echoes headers based on parsed XML content, the token may be exposed indirectly.
Bearer Tokens-Specific Remediation in Flask — concrete code fixes
Remediation focuses on two areas: hardening XML parsing and safely handling Bearer tokens. For XML, disable external general entities and DTDs. For token handling, avoid mixing tokens into XML payloads, and ensure headers are not reflected in error responses or logs that involve parsed XML.
1) Secure XML parsing in Flask (lxml example):
from flask import Flask, request, jsonify
from lxml import etree
import io
app = Flask(__name__)
# Secure parser resolver that disables external entities
def secure_parse_xml(xml_bytes):
parser = etree.XMLParser(
resolve_entities=False,
no_network=True,
load_dtd=False,
external=False,
huge_tree=False
)
return etree.parse(io.BytesIO(xml_bytes), parser)
@app.route("/parse-safe", methods=["POST"])
def parse_xml_safe():
data = request.get_data()
try:
tree = secure_parse_xml(data)
root = tree.getroot()
# Safe extraction; avoid using parsed content to locate tokens from headers
value = root.findtext("token")
return jsonify({"token_value": value})
except Exception as e:
# Do not include raw parser errors or headers in responses
return jsonify({"error":"invalid XML"}), 400
The parser is configured with resolve_entities=False, no_network=True, and load_dtd=False to prevent external entity resolution. This follows best practices for preventing XXE while still allowing valid XML processing.
2) Bearer token handling best practices:
- Keep tokens in Authorization headers and do not echo them in XML bodies or error messages.
- If you must accept tokens inside XML (not recommended), treat them as sensitive data and avoid logging the parsed XML alongside headers.
- Validate and sanitize any values extracted from XML before using them in downstream requests that include bearer tokens.
Example of safe header-based Bearer token usage in Flask:
from flask import Flask, request, jsonify
app = Flask(__name__)
@app.route("/data", methods=["GET"])
def get_data():
auth = request.headers.get("Authorization", "")
if not auth.startswith("Bearer "):
return jsonify({"error":"Unauthorized"}), 401
token = auth.split(" ", 1)[1]
# Use token securely, e.g., call another service; avoid mixing with XML parsing
return jsonify({"status":"ok"})
By separating token handling from XML parsing, you reduce the attack surface. If your API uses OpenAPI/Swagger, document that the Authorization header is required and that XML payloads must not embed bearer-like values. middleBrick scans can validate these practices by checking Input Validation and Data Exposure findings; the Pro plan’s continuous monitoring can alert you if a new endpoint introduces risky parsing behavior.
Finally, if you use frameworks that support XML schemas (XSD), enforce strict schema validation and avoid allowing inline DOCTYPE declarations. The combination of hardened parsers and disciplined token handling mitigates both XXE and token leakage risks.