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| data = request.get_json() | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) |
Check failure
Code scanning / CodeQL
Deserialization of user-controlled data Critical
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Copilot Autofix
AI about 1 year ago
To fix the problem, we should avoid using jsonpickle.decode for deserializing user-controlled data. Instead, we can use a safer alternative like json.loads for JSON data, which does not allow arbitrary code execution. This change will ensure that only valid JSON data is processed, mitigating the risk of deserialization vulnerabilities.
- Replace
jsonpickle.decodewithjson.loadsfor deserializing user-provided data. - Ensure that the data being deserialized is in a valid JSON format.
- Update the code to handle the deserialized JSON data appropriately.
| @@ -31,5 +31,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| trace = json.loads(data["trace"]) | ||
| exp = DSExpGen(scen).gen(trace) | ||
| @@ -91,5 +91,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
|
|
||
| @@ -113,6 +113,6 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
| trace = json.loads(data["trace"]) | ||
|
|
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| trace = jsonpickle.decode(data["trace"]) |
Check failure
Code scanning / CodeQL
Deserialization of user-controlled data Critical
Show autofix suggestion
Hide autofix suggestion
Copilot Autofix
AI about 1 year ago
To fix the problem, we should avoid using jsonpickle.decode for deserializing user-controlled data. Instead, we can use json.loads to safely parse the JSON data. This change will ensure that only basic JSON types (e.g., dictionaries, lists, strings, numbers) are parsed, preventing the construction of arbitrary objects.
We will replace the jsonpickle.decode calls with json.loads and adjust the code to handle the resulting data structures appropriately.
| @@ -31,5 +31,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| trace = json.loads(data["trace"]) | ||
| exp = DSExpGen(scen).gen(trace) | ||
| @@ -91,5 +91,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
|
|
||
| @@ -113,6 +113,6 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
| trace = json.loads(data["trace"]) | ||
|
|
| data = request.get_json() | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) |
Check failure
Code scanning / CodeQL
Deserialization of user-controlled data Critical
Show autofix suggestion
Hide autofix suggestion
Copilot Autofix
AI about 1 year ago
To fix the problem, we should avoid using jsonpickle.decode for deserializing user-provided data. Instead, we can use json.loads to safely parse the JSON data. This will ensure that only basic data types (like dictionaries, lists, strings, numbers, etc.) are parsed, avoiding the risk of arbitrary code execution.
We will replace the jsonpickle.decode calls with json.loads and adjust the code to work with the resulting data structures.
| @@ -31,9 +31,9 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| trace = json.loads(data["trace"]) | ||
| exp = DSExpGen(scen).gen(trace) | ||
| # Serialize the experiment object using jsonpickle. | ||
| exp_pickle = jsonpickle.encode(exp, unpicklable=True) | ||
| return jsonify({"experiment": exp_pickle}), 200 | ||
| exp_json = json.dumps(exp) | ||
| return jsonify({"experiment": exp_json}), 200 | ||
| except Exception as e: | ||
| @@ -47,5 +47,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
| # Initialize coders | ||
| @@ -78,5 +78,5 @@ | ||
|
|
||
| # Serialize the updated experiment object using jsonpickle. | ||
| exp_pickle = jsonpickle.encode(exp, unpicklable=True) | ||
| return jsonify({"experiment": exp_pickle}), 200 | ||
| # Serialize the updated experiment object using JSON. | ||
| exp_json = json.dumps(exp) | ||
| return jsonify({"experiment": exp_json}), 200 | ||
| except Exception as e: |
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) |
Check failure
Code scanning / CodeQL
Deserialization of user-controlled data Critical
Show autofix suggestion
Hide autofix suggestion
Copilot Autofix
AI about 1 year ago
To fix the problem, we should avoid using jsonpickle.decode for deserializing user-controlled data. Instead, we can use json.loads to parse the JSON data, which is safer and does not allow arbitrary code execution. This change will ensure that only basic data types (e.g., dictionaries, lists, strings, numbers) are parsed from the input, mitigating the risk of code execution vulnerabilities.
| @@ -31,5 +31,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| trace = json.loads(data["trace"]) | ||
| exp = DSExpGen(scen).gen(trace) | ||
| @@ -39,3 +39,3 @@ | ||
| except Exception as e: | ||
| return jsonify({"error": jsonpickle.encode(e)}), 500 | ||
| return jsonify({"error": json.dumps(str(e))}), 500 | ||
|
|
||
| @@ -47,5 +47,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
| # Initialize coders |
| data = request.get_json() | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) |
Check failure
Code scanning / CodeQL
Deserialization of user-controlled data Critical
Show autofix suggestion
Hide autofix suggestion
Copilot Autofix
AI about 1 year ago
To fix the problem, we should avoid using jsonpickle.decode on untrusted data. Instead, we can use json.loads to parse the JSON data and then manually construct the necessary objects. This approach ensures that only safe data types are processed, reducing the risk of arbitrary code execution.
- Replace
jsonpickle.decodewithjson.loadsto parse the JSON data. - Manually construct the necessary objects from the parsed JSON data.
| @@ -47,5 +47,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Parse the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
| # Initialize coders | ||
| @@ -91,5 +91,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Parse the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
|
|
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) |
Check failure
Code scanning / CodeQL
Deserialization of user-controlled data Critical
Show autofix suggestion
Hide autofix suggestion
Copilot Autofix
AI about 1 year ago
To fix the problem, we should avoid using jsonpickle.decode for deserializing user-controlled data. Instead, we can use a safer alternative like json.loads to parse the JSON data. This approach ensures that only basic data types (e.g., dictionaries, lists, strings, numbers) are deserialized, preventing the execution of arbitrary code.
We will replace the jsonpickle.decode calls with json.loads and adjust the code to handle the resulting data structures appropriately.
| @@ -47,5 +47,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
| # Initialize coders | ||
| @@ -91,5 +91,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
|
|
| data = request.get_json() | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) |
Check failure
Code scanning / CodeQL
Deserialization of user-controlled data Critical
Show autofix suggestion
Hide autofix suggestion
Copilot Autofix
AI about 1 year ago
To fix the problem, we should avoid using jsonpickle.decode for deserializing user-controlled data. Instead, we can use json.loads to safely parse JSON data. This change ensures that only basic JSON types (like dictionaries, lists, strings, numbers, etc.) are parsed, preventing the construction of arbitrary objects.
We will replace the jsonpickle.decode calls with json.loads and adjust the code to handle the resulting data structures appropriately.
| @@ -31,5 +31,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| trace = json.loads(data["trace"]) | ||
| exp = DSExpGen(scen).gen(trace) | ||
| @@ -91,5 +91,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
|
|
||
| @@ -113,6 +113,6 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
| trace = json.loads(data["trace"]) | ||
|
|
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) |
Check failure
Code scanning / CodeQL
Deserialization of user-controlled data Critical
Show autofix suggestion
Hide autofix suggestion
Copilot Autofix
AI about 1 year ago
To fix the problem, we should avoid using jsonpickle.decode on untrusted data. Instead, we can use json.loads to safely parse the JSON data and then manually reconstruct the objects if necessary. This approach ensures that no arbitrary code execution occurs during deserialization.
- Replace
jsonpickle.decodewithjson.loadsto safely parse the JSON data. - Manually reconstruct the objects from the parsed JSON data.
- Ensure that the functionality remains the same while eliminating the security risk.
| @@ -31,5 +31,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| trace = json.loads(data["trace"]) | ||
| exp = DSExpGen(scen).gen(trace) | ||
| @@ -91,5 +91,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
|
|
||
| @@ -113,6 +113,6 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
| trace = json.loads(data["trace"]) | ||
|
|
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| trace = jsonpickle.decode(data["trace"]) |
Check failure
Code scanning / CodeQL
Deserialization of user-controlled data Critical
Show autofix suggestion
Hide autofix suggestion
Copilot Autofix
AI about 1 year ago
To fix the problem, we should avoid using jsonpickle.decode on untrusted data. Instead, we can use json.loads to parse the JSON data and then manually construct the objects. This approach ensures that only the expected data structures are created, reducing the risk of arbitrary code execution.
We will replace the jsonpickle.decode calls with json.loads and manually construct the necessary objects. This change will be made in the exp_gen, run, and feedback functions.
| @@ -31,5 +31,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| trace = json.loads(data["trace"]) | ||
| exp = DSExpGen(scen).gen(trace) | ||
| @@ -91,5 +91,5 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
|
|
||
| @@ -113,6 +113,6 @@ | ||
| try: | ||
| # Decode the provided jsonpickled objects. | ||
| scen = jsonpickle.decode(data["scen"]) | ||
| exp = jsonpickle.decode(data["exp"]) | ||
| trace = jsonpickle.decode(data["trace"]) | ||
| # Decode the provided JSON objects. | ||
| scen = json.loads(data["scen"]) | ||
| exp = json.loads(data["exp"]) | ||
| trace = json.loads(data["trace"]) | ||
|
|
…agent
Description
Motivation and Context
How Has This Been Tested?
Screenshots of Test Results (if appropriate):
Types of changes
📚 Documentation preview 📚: https://RDAgent--753.org.readthedocs.build/en/753/