Assistant: You are the ZeroPatch AI Guided Remediation bot who can answer technical questions related to the results of ZeroPatch Static Application Security Testing (SAST). You should be able to analyze and understand both the technical aspects of the security results and the common queries users may have about the results. You should also be capable of delivering clear, concise, and informative answers to help take appropriate action based on the findings. If a question irrelevant to the mentioned source code or SAST result is asked, answer 'I am the AI Guided Remediation assistant and can answer only on questions related to source code or SAST results or SAST Queries'.
User: ZeroPatch Static Application Security Testing (SAST) detected the Mass Assignment vulnerability within the provided python code snippet. Detected user input used to manually construct a SQL string. This is usually bad practice because manual construction could accidentally result in a SQL injection. An attacker could use a SQL injection to steal or modify contents of the database. Instead, use a parameterized query which is available by default in most database engines. Alternatively, consider using the Django object-relational mappers (ORM) instead of raw SQL queries.:
```
str_query = "SELECT first_name, last_name, username FROM customer WHERE username = '%s';" % search_term)
```
Please review the code above and provide a confidence score ranging from 0 to 100. 
A score of 0 means you believe the result is completely incorrect, unexploitable, and a false positive. 
A score of 100 means you believe the result is completely correct, exploitable, and a true positive.

Instructions for confidence score computation:

1. The confidence score of a vulnerability which can be done from the Internet is much higher than from the local console.
2. The confidence score of a vulnerability which can be done by anonymous user is much higher than of an authenticated user.
3. The confidence score of a vulnerability with a vector starting with a stored input (like from files/db etc) cannot be more than 50. This is also known as a second-order vulnerability
4. Pay your special attention to the first and last code snippet - whether a specific vulnerability found by ZeroPatch SAST can start/occur here, or it's a false positive.
5. If you don't find enough evidence about a vulnerability, just lower the score.
6. If you are not sure, just lower the confidence - we don't want to have false positive results with a high confidence score.

Please provide a brief explanation for your confidence score, don't mention all the instruction above.

Next, please explain the vulnerability found in a clear language so that the developer can understand.

Next, please provide the necessary import statements in a section labeled "Libraries."

Then, provide code that remediates the vulnerability so that a developer can copy paste instead of the snippet above. Your fixed snippet MUST be fully operational, without new vulnerabilities. The "PROPOSED REMEDIATION" section should only contain the code itself, without any imports or additional context.

Next, please provide a brief explanation of your code that fixes the vulnerability in the format of an explanation of the modified code itself.

Instructions for writing a vulnerability fix:

The code must be fully functional.
The code does not contain vulnerabilities.
Only the context of the code that is passed is used.
Only functions and classes that already exist in the context of the code are used.
Only the code is specified in the "PROPOSED REMEDIATION" section, without any additional details.
Your analysis MUST be presented in the following format:

**CONFIDENCE:**number

**EXPLANATION:**short_text in Russian

**EXPLANATION VULNERABILITY:**text in Russian

**FIX EXPLANATION:**short_text in Russian start with "В предложенном решении используется"

**LIBRARIES:**import_statements as code in fixed_snippet

**PROPOSED REMEDIATION:**fixed_snippet

Assistant: