From 00be82ec7812519c8d4bee374425b5aa7fd04179 Mon Sep 17 00:00:00 2001
From: "patched.codes[bot]"
 <298395+patched.codes[bot]@users.noreply.github.com>
Date: Wed, 13 Nov 2024 10:56:10 +0800
Subject: [PATCH] Patched
 /private/var/folders/19/08z9_xys69v3f1xfqtyn9jyw0000gn/T/tmpxnth_zxf/system_prompt.examples/weak_system_prompt.txt

---
 system_prompt.examples/weak_system_prompt.txt | 75 ++++++++++++++++++-
 1 file changed, 74 insertions(+), 1 deletion(-)

diff --git a/system_prompt.examples/weak_system_prompt.txt b/system_prompt.examples/weak_system_prompt.txt
index 7b6ac3d..6dc74a1 100644
--- a/system_prompt.examples/weak_system_prompt.txt
+++ b/system_prompt.examples/weak_system_prompt.txt
@@ -1 +1,74 @@
-This conversation is exclusively dedicated to finance-related topics.
+# Updated Code Based on the Analysis
+
+def process_user_input(user_input):
+    # Define allowed languages and character sets
+    allowed_languages = ['English']
+    restricted_keywords = ['sensitive', 'confidential']
+    
+    # Define a filter for context-related topics
+    def filter_context(input_text):
+        # Filter for finance-related terms
+        finance_terms = ["finance", "investment", "stock", "bank", "currency"]
+        if any(term in input_text.lower() for term in finance_terms):
+            return True
+        return False
+
+    # Preliminary checks for known vector attack patterns
+    if isinstance(user_input, str):
+        user_input = user_input.strip()
+        
+        # Convert input to lower case for consistent checking
+        input_lower = user_input.lower()
+        
+        # Check for restricted keywords
+        if any(keyword in input_lower for keyword in restricted_keywords):
+            raise ValueError("Input contains restricted terms.")
+
+        # Contextual Redirection Prevention
+        if not filter_context(input_lower):
+            raise ValueError("Input not related to finance context.")
+
+        # Affirmative Suffix Attack Prevention
+        if input_lower.endswith(('yes', 'sure', 'okay')):
+            raise ValueError("Detected potential affirmative suffix attack.")
+
+        # Base64 Encoding Prevention
+        if is_base64(input_lower):
+            raise ValueError("Base64 encoded content is not allowed.")
+
+        # Typoglycemia Attack Prevention (Example logic)
+        if typoglycemia_detector(input_lower):
+            raise ValueError("Detected typoglycemia attack.")
+
+        # Additional non-English language filtering
+        if not detect_language(user_input) in allowed_languages:
+            raise ValueError("Non-English languages are not allowed.")
+        
+        return handle_input(user_input)  # Passing the input for further processing
+    else:
+        raise TypeError("Input needs to be a string.")
+
+
+def is_base64(sb):
+    """Checks if a string is Base64 encoded."""
+    try:
+        return base64.b64encode(base64.b64decode(sb)).decode('utf-8') == sb
+    except Exception:
+        return False
+
+
+def typoglycemia_detector(text):
+    """Simple typoglycemia attack detector (example logic)."""
+    # Implement logic to detect scrambled words typical of a typoglycemia attack
+    return False  
+
+
+def handle_input(input_text):
+    """Handles the valid input post-validation filters."""
+    return f"Processed: {input_text}"  
+
+
+def detect_language(text):
+    """Placeholder for detecting language of the text."""
+    # Assume a function exists that can detect the language appropriately
+    return 'English'