diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/logging/config.py b/autogpt_platform/autogpt_libs/autogpt_libs/logging/config.py
index d424e6ba8c..93a4030bcc 100644
--- a/autogpt_platform/autogpt_libs/autogpt_libs/logging/config.py
+++ b/autogpt_platform/autogpt_libs/autogpt_libs/logging/config.py
@@ -4,6 +4,7 @@ import logging
 import os
 import socket
 import sys
+from logging.handlers import RotatingFileHandler
 from pathlib import Path
 
 from pydantic import Field, field_validator
@@ -139,8 +140,13 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
         print(f"Log directory: {config.log_dir}")
 
         # Activity log handler (INFO and above)
-        activity_log_handler = logging.FileHandler(
-            config.log_dir / LOG_FILE, "a", "utf-8"
+        # Security fix: Use RotatingFileHandler with size limits to prevent disk exhaustion
+        activity_log_handler = RotatingFileHandler(
+            config.log_dir / LOG_FILE,
+            mode="a",
+            encoding="utf-8",
+            maxBytes=10 * 1024 * 1024,  # 10MB per file
+            backupCount=3,  # Keep 3 backup files (40MB total)
         )
         activity_log_handler.setLevel(config.level)
         activity_log_handler.setFormatter(
@@ -150,8 +156,13 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
 
         if config.level == logging.DEBUG:
             # Debug log handler (all levels)
-            debug_log_handler = logging.FileHandler(
-                config.log_dir / DEBUG_LOG_FILE, "a", "utf-8"
+            # Security fix: Use RotatingFileHandler with size limits
+            debug_log_handler = RotatingFileHandler(
+                config.log_dir / DEBUG_LOG_FILE,
+                mode="a",
+                encoding="utf-8",
+                maxBytes=10 * 1024 * 1024,  # 10MB per file
+                backupCount=3,  # Keep 3 backup files (40MB total)
             )
             debug_log_handler.setLevel(logging.DEBUG)
             debug_log_handler.setFormatter(
@@ -160,8 +171,13 @@ def configure_logging(force_cloud_logging: bool = False) -> None:
             log_handlers.append(debug_log_handler)
 
         # Error log handler (ERROR and above)
-        error_log_handler = logging.FileHandler(
-            config.log_dir / ERROR_LOG_FILE, "a", "utf-8"
+        # Security fix: Use RotatingFileHandler with size limits
+        error_log_handler = RotatingFileHandler(
+            config.log_dir / ERROR_LOG_FILE,
+            mode="a",
+            encoding="utf-8",
+            maxBytes=10 * 1024 * 1024,  # 10MB per file
+            backupCount=3,  # Keep 3 backup files (40MB total)
         )
         error_log_handler.setLevel(logging.ERROR)
         error_log_handler.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT, no_color=True))
diff --git a/autogpt_platform/backend/backend/blocks/code_extraction_block.py b/autogpt_platform/backend/backend/blocks/code_extraction_block.py
index 33bf225bfd..c421d40092 100644
--- a/autogpt_platform/backend/backend/blocks/code_extraction_block.py
+++ b/autogpt_platform/backend/backend/blocks/code_extraction_block.py
@@ -90,7 +90,7 @@ class CodeExtractionBlock(Block):
                 for aliases in language_aliases.values()
                 for alias in aliases
             )
-            + r")\s+[\s\S]*?```"
+            + r")[ \t]*\n[\s\S]*?```"
         )
 
         remaining_text = re.sub(pattern, "", input_data.text).strip()
@@ -103,7 +103,9 @@ class CodeExtractionBlock(Block):
         # Escape special regex characters in the language string
         language = re.escape(language)
         # Extract all code blocks enclosed in ```language``` blocks
-        pattern = re.compile(rf"```{language}\s+(.*?)```", re.DOTALL | re.IGNORECASE)
+        pattern = re.compile(
+            rf"```{language}[ \t]*\n(.*?)\n```", re.DOTALL | re.IGNORECASE
+        )
         matches = pattern.finditer(text)
         # Combine all code blocks for this language with newlines between them
         code_blocks = [match.group(1).strip() for match in matches]
diff --git a/autogpt_platform/backend/backend/blocks/iteration.py b/autogpt_platform/backend/backend/blocks/iteration.py
index c0b66a2ed0..1f3753b901 100644
--- a/autogpt_platform/backend/backend/blocks/iteration.py
+++ b/autogpt_platform/backend/backend/blocks/iteration.py
@@ -54,20 +54,43 @@ class StepThroughItemsBlock(Block):
         )
 
     async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        # Security fix: Add limits to prevent DoS from large iterations
+        MAX_ITEMS = 10000  # Maximum items to iterate
+        MAX_ITEM_SIZE = 1024 * 1024  # 1MB per item
+
         for data in [input_data.items, input_data.items_object, input_data.items_str]:
             if not data:
                 continue
+
+            # Limit string size before parsing
             if isinstance(data, str):
+                if len(data) > MAX_ITEM_SIZE:
+                    raise ValueError(
+                        f"Input too large: {len(data)} bytes > {MAX_ITEM_SIZE} bytes"
+                    )
                 items = json.loads(data)
             else:
                 items = data
+
+            # Check total item count
+            if isinstance(items, (list, dict)):
+                if len(items) > MAX_ITEMS:
+                    raise ValueError(f"Too many items: {len(items)} > {MAX_ITEMS}")
+
+            iteration_count = 0
             if isinstance(items, dict):
                 # If items is a dictionary, iterate over its values
-                for item in items.values():
-                    yield "item", item
-                    yield "key", item
+                for key, value in items.items():
+                    if iteration_count >= MAX_ITEMS:
+                        break
+                    yield "item", value
+                    yield "key", key  # Fixed: should yield key, not item
+                    iteration_count += 1
             else:
                 # If items is a list, iterate over the list
                 for index, item in enumerate(items):
+                    if iteration_count >= MAX_ITEMS:
+                        break
                     yield "item", item
                     yield "key", index
+                    iteration_count += 1
diff --git a/autogpt_platform/backend/backend/blocks/llm.py b/autogpt_platform/backend/backend/blocks/llm.py
index facaa92c30..b3260e797f 100644
--- a/autogpt_platform/backend/backend/blocks/llm.py
+++ b/autogpt_platform/backend/backend/blocks/llm.py
@@ -1404,11 +1404,27 @@ class AITextSummarizerBlock(AIBlockBase):
 
     @staticmethod
     def _split_text(text: str, max_tokens: int, overlap: int) -> list[str]:
+        # Security fix: Add validation to prevent DoS attacks
+        # Limit text size to prevent memory exhaustion
+        MAX_TEXT_LENGTH = 1_000_000  # 1MB character limit
+        MAX_CHUNKS = 100  # Maximum number of chunks to prevent excessive memory use
+
+        if len(text) > MAX_TEXT_LENGTH:
+            text = text[:MAX_TEXT_LENGTH]
+
+        # Ensure chunk_size is at least 1 to prevent infinite loops
+        chunk_size = max(1, max_tokens - overlap)
+
+        # Ensure overlap is less than max_tokens to prevent invalid configurations
+        if overlap >= max_tokens:
+            overlap = max(0, max_tokens - 1)
+
         words = text.split()
         chunks = []
-        chunk_size = max_tokens - overlap
 
         for i in range(0, len(words), chunk_size):
+            if len(chunks) >= MAX_CHUNKS:
+                break  # Limit the number of chunks to prevent memory exhaustion
             chunk = " ".join(words[i : i + max_tokens])
             chunks.append(chunk)
 
diff --git a/autogpt_platform/backend/backend/blocks/rss.py b/autogpt_platform/backend/backend/blocks/rss.py
index 751506fcb8..8d8dc91d09 100644
--- a/autogpt_platform/backend/backend/blocks/rss.py
+++ b/autogpt_platform/backend/backend/blocks/rss.py
@@ -1,4 +1,7 @@
 import asyncio
+import logging
+import urllib.parse
+import urllib.request
 from datetime import datetime, timedelta, timezone
 from typing import Any
 
@@ -101,7 +104,38 @@ class ReadRSSFeedBlock(Block):
 
     @staticmethod
     def parse_feed(url: str) -> dict[str, Any]:
-        return feedparser.parse(url)  # type: ignore
+        # Security fix: Add protection against memory exhaustion attacks
+        MAX_FEED_SIZE = 10 * 1024 * 1024  # 10MB limit for RSS feeds
+
+        # Validate URL
+        parsed_url = urllib.parse.urlparse(url)
+        if parsed_url.scheme not in ("http", "https"):
+            raise ValueError(f"Invalid URL scheme: {parsed_url.scheme}")
+
+        # Download with size limit
+        try:
+            with urllib.request.urlopen(url, timeout=30) as response:
+                # Check content length if available
+                content_length = response.headers.get("Content-Length")
+                if content_length and int(content_length) > MAX_FEED_SIZE:
+                    raise ValueError(
+                        f"Feed too large: {content_length} bytes exceeds {MAX_FEED_SIZE} limit"
+                    )
+
+                # Read with size limit
+                content = response.read(MAX_FEED_SIZE + 1)
+                if len(content) > MAX_FEED_SIZE:
+                    raise ValueError(
+                        f"Feed too large: exceeds {MAX_FEED_SIZE} byte limit"
+                    )
+
+                # Parse with feedparser using the validated content
+                # feedparser has built-in protection against XML attacks
+                return feedparser.parse(content)  # type: ignore
+        except Exception as e:
+            # Log error and return empty feed
+            logging.warning(f"Failed to parse RSS feed from {url}: {e}")
+            return {"entries": []}
 
     async def run(self, input_data: Input, **kwargs) -> BlockOutput:
         keep_going = True
diff --git a/autogpt_platform/backend/backend/blocks/test/test_blocks_dos_vulnerability.py b/autogpt_platform/backend/backend/blocks/test/test_blocks_dos_vulnerability.py
new file mode 100644
index 0000000000..87bf102099
--- /dev/null
+++ b/autogpt_platform/backend/backend/blocks/test/test_blocks_dos_vulnerability.py
@@ -0,0 +1,269 @@
+"""
+Test security fixes for various DoS vulnerabilities.
+"""
+
+import asyncio
+from unittest.mock import patch
+
+import pytest
+
+from backend.blocks.code_extraction_block import CodeExtractionBlock
+from backend.blocks.iteration import StepThroughItemsBlock
+from backend.blocks.llm import AITextSummarizerBlock
+from backend.blocks.text import ExtractTextInformationBlock
+from backend.blocks.xml_parser import XMLParserBlock
+from backend.util.file import store_media_file
+from backend.util.type import MediaFileType
+
+
+class TestCodeExtractionBlockSecurity:
+    """Test ReDoS fixes in CodeExtractionBlock."""
+
+    async def test_redos_protection(self):
+        """Test that the regex patterns don't cause ReDoS."""
+        block = CodeExtractionBlock()
+
+        # Test with input that would previously cause ReDoS
+        malicious_input = "```python" + " " * 10000  # Large spaces
+
+        result = []
+        async for output_name, output_data in block.run(
+            CodeExtractionBlock.Input(text=malicious_input)
+        ):
+            result.append((output_name, output_data))
+
+        # Should complete without hanging
+        assert len(result) >= 1
+        assert any(name == "remaining_text" for name, _ in result)
+
+
+class TestAITextSummarizerBlockSecurity:
+    """Test memory exhaustion fixes in AITextSummarizerBlock."""
+
+    def test_split_text_limits(self):
+        """Test that _split_text has proper limits."""
+        # Test text size limit
+        large_text = "a" * 2_000_000  # 2MB text
+        result = AITextSummarizerBlock._split_text(large_text, 1000, 100)
+
+        # Should be truncated to 1MB
+        total_chars = sum(len(chunk) for chunk in result)
+        assert total_chars <= 1_000_000 + 1000  # Allow for chunk boundary
+
+        # Test chunk count limit
+        result = AITextSummarizerBlock._split_text("word " * 10000, 10, 9)
+        assert len(result) <= 100  # MAX_CHUNKS limit
+
+        # Test parameter validation
+        result = AITextSummarizerBlock._split_text(
+            "test", 10, 15
+        )  # overlap > max_tokens
+        assert len(result) >= 1  # Should still work
+
+
+class TestExtractTextInformationBlockSecurity:
+    """Test ReDoS and memory exhaustion fixes in ExtractTextInformationBlock."""
+
+    async def test_text_size_limits(self):
+        """Test text size limits."""
+        block = ExtractTextInformationBlock()
+
+        # Test with large input
+        large_text = "a" * 2_000_000  # 2MB
+
+        results = []
+        async for output_name, output_data in block.run(
+            ExtractTextInformationBlock.Input(
+                text=large_text, pattern=r"a+", find_all=True, group=0
+            )
+        ):
+            results.append((output_name, output_data))
+
+        # Should complete and have limits applied
+        matched_results = [r for name, r in results if name == "matched_results"]
+        if matched_results:
+            assert len(matched_results[0]) <= 1000  # MAX_MATCHES limit
+
+    async def test_dangerous_pattern_timeout(self):
+        """Test timeout protection for dangerous patterns."""
+        block = ExtractTextInformationBlock()
+
+        # Test with potentially dangerous lookahead pattern
+        test_input = "a" * 1000
+
+        # This should complete quickly due to timeout protection
+        start_time = asyncio.get_event_loop().time()
+        results = []
+        async for output_name, output_data in block.run(
+            ExtractTextInformationBlock.Input(
+                text=test_input, pattern=r"(?=.+)", find_all=True, group=0
+            )
+        ):
+            results.append((output_name, output_data))
+
+        end_time = asyncio.get_event_loop().time()
+        # Should complete within reasonable time (much less than 5s timeout)
+        assert (end_time - start_time) < 10
+
+    async def test_redos_catastrophic_backtracking(self):
+        """Test that ReDoS patterns with catastrophic backtracking are handled."""
+        block = ExtractTextInformationBlock()
+
+        # Pattern that causes catastrophic backtracking: (a+)+b
+        # With input "aaaaaaaaaaaaaaaaaaaaaaaaaaaa" (no 'b'), this causes exponential time
+        dangerous_pattern = r"(a+)+b"
+        test_input = "a" * 30  # 30 'a's without a 'b' at the end
+
+        # This should be handled by timeout protection or pattern detection
+        start_time = asyncio.get_event_loop().time()
+        results = []
+
+        async for output_name, output_data in block.run(
+            ExtractTextInformationBlock.Input(
+                text=test_input, pattern=dangerous_pattern, find_all=True, group=0
+            )
+        ):
+            results.append((output_name, output_data))
+
+        end_time = asyncio.get_event_loop().time()
+        elapsed = end_time - start_time
+
+        # Should complete within timeout (6 seconds to be safe)
+        # The current threading.Timer approach doesn't work, so this will likely fail
+        # demonstrating the need for a fix
+        assert elapsed < 6, f"Regex took {elapsed}s, timeout mechanism failed"
+
+        # Should return empty results on timeout or no match
+        matched_results = [r for name, r in results if name == "matched_results"]
+        assert matched_results[0] == []  # No matches expected
+
+
+class TestStepThroughItemsBlockSecurity:
+    """Test iteration limits in StepThroughItemsBlock."""
+
+    async def test_item_count_limits(self):
+        """Test maximum item count limits."""
+        block = StepThroughItemsBlock()
+
+        # Test with too many items
+        large_list = list(range(20000))  # Exceeds MAX_ITEMS (10000)
+
+        with pytest.raises(ValueError, match="Too many items"):
+            async for _ in block.run(StepThroughItemsBlock.Input(items=large_list)):
+                pass
+
+    async def test_string_size_limits(self):
+        """Test string input size limits."""
+        block = StepThroughItemsBlock()
+
+        # Test with large JSON string
+        large_string = '["item"]' * 200000  # Large JSON string
+
+        with pytest.raises(ValueError, match="Input too large"):
+            async for _ in block.run(
+                StepThroughItemsBlock.Input(items_str=large_string)
+            ):
+                pass
+
+    async def test_normal_iteration_works(self):
+        """Test that normal iteration still works."""
+        block = StepThroughItemsBlock()
+
+        results = []
+        async for output_name, output_data in block.run(
+            StepThroughItemsBlock.Input(items=[1, 2, 3])
+        ):
+            results.append((output_name, output_data))
+
+        # Should have 6 outputs (item, key for each of 3 items)
+        assert len(results) == 6
+        items = [data for name, data in results if name == "item"]
+        assert items == [1, 2, 3]
+
+
+class TestXMLParserBlockSecurity:
+    """Test XML size limits in XMLParserBlock."""
+
+    async def test_xml_size_limits(self):
+        """Test XML input size limits."""
+        block = XMLParserBlock()
+
+        # Test with large XML - need to exceed 10MB limit
+        # Each "<item>data</item>" is 17 chars, need ~620K items for >10MB
+        large_xml = "<root>" + "<item>data</item>" * 620000 + "</root>"
+
+        with pytest.raises(ValueError, match="XML too large"):
+            async for _ in block.run(XMLParserBlock.Input(input_xml=large_xml)):
+                pass
+
+
+class TestStoreMediaFileSecurity:
+    """Test file storage security limits."""
+
+    @patch("backend.util.file.scan_content_safe")
+    @patch("backend.util.file.get_cloud_storage_handler")
+    async def test_file_size_limits(self, mock_cloud_storage, mock_scan):
+        """Test file size limits."""
+        # Mock cloud storage handler - get_cloud_storage_handler is async
+        # but is_cloud_path and parse_cloud_path are sync methods
+        from unittest.mock import MagicMock
+
+        mock_handler = MagicMock()
+        mock_handler.is_cloud_path.return_value = False
+
+        # Make get_cloud_storage_handler an async function that returns the mock handler
+        async def async_get_handler():
+            return mock_handler
+
+        mock_cloud_storage.side_effect = async_get_handler
+        mock_scan.return_value = None
+
+        # Test with large base64 content
+        large_content = "a" * (200 * 1024 * 1024)  # 200MB
+        large_data_uri = f"data:text/plain;base64,{large_content}"
+
+        with pytest.raises(ValueError, match="File too large"):
+            await store_media_file(
+                graph_exec_id="test",
+                file=MediaFileType(large_data_uri),
+                user_id="test_user",
+            )
+
+    @patch("backend.util.file.Path")
+    @patch("backend.util.file.scan_content_safe")
+    @patch("backend.util.file.get_cloud_storage_handler")
+    async def test_directory_size_limits(self, mock_cloud_storage, mock_scan, MockPath):
+        """Test directory size limits."""
+        from unittest.mock import MagicMock
+
+        mock_handler = MagicMock()
+        mock_handler.is_cloud_path.return_value = False
+
+        async def async_get_handler():
+            return mock_handler
+
+        mock_cloud_storage.side_effect = async_get_handler
+        mock_scan.return_value = None
+
+        # Create mock path instance for the execution directory
+        mock_path_instance = MagicMock()
+        mock_path_instance.exists.return_value = True
+
+        # Mock glob to return files that total > 1GB
+        mock_file = MagicMock()
+        mock_file.is_file.return_value = True
+        mock_file.stat.return_value.st_size = 2 * 1024 * 1024 * 1024  # 2GB
+        mock_path_instance.glob.return_value = [mock_file]
+
+        # Make Path() return our mock
+        MockPath.return_value = mock_path_instance
+
+        # Should raise an error when directory size exceeds limit
+        with pytest.raises(ValueError, match="Disk usage limit exceeded"):
+            await store_media_file(
+                graph_exec_id="test",
+                file=MediaFileType(
+                    "data:text/plain;base64,dGVzdA=="
+                ),  # Small test file
+                user_id="test_user",
+            )
diff --git a/autogpt_platform/backend/backend/blocks/text.py b/autogpt_platform/backend/backend/blocks/text.py
index 2ebb491074..b6dae2c840 100644
--- a/autogpt_platform/backend/backend/blocks/text.py
+++ b/autogpt_platform/backend/backend/blocks/text.py
@@ -2,6 +2,8 @@ import re
 from pathlib import Path
 from typing import Any
 
+import regex  # Has built-in timeout support
+
 from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
 from backend.data.model import SchemaField
 from backend.util import json, text
@@ -137,6 +139,11 @@ class ExtractTextInformationBlock(Block):
         )
 
     async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        # Security fix: Add limits to prevent ReDoS and memory exhaustion
+        MAX_TEXT_LENGTH = 1_000_000  # 1MB character limit
+        MAX_MATCHES = 1000  # Maximum number of matches to prevent memory exhaustion
+        MAX_MATCH_LENGTH = 10_000  # Maximum length per match
+
         flags = 0
         if not input_data.case_sensitive:
             flags = flags | re.IGNORECASE
@@ -148,20 +155,85 @@ class ExtractTextInformationBlock(Block):
         else:
             txt = json.dumps(input_data.text)
 
-        matches = [
-            match.group(input_data.group)
-            for match in re.finditer(input_data.pattern, txt, flags)
-            if input_data.group <= len(match.groups())
-        ]
-        if not input_data.find_all:
-            matches = matches[:1]
-        for match in matches:
-            yield "positive", match
-        if not matches:
-            yield "negative", input_data.text
+        # Limit text size to prevent DoS
+        if len(txt) > MAX_TEXT_LENGTH:
+            txt = txt[:MAX_TEXT_LENGTH]
 
-        yield "matched_results", matches
-        yield "matched_count", len(matches)
+        # Validate regex pattern to prevent dangerous patterns
+        dangerous_patterns = [
+            r".*\+.*\+",  # Nested quantifiers
+            r".*\*.*\*",  # Nested quantifiers
+            r"(?=.*\+)",  # Lookahead with quantifier
+            r"(?=.*\*)",  # Lookahead with quantifier
+            r"\(.+\)\+",  # Group with nested quantifier
+            r"\(.+\)\*",  # Group with nested quantifier
+            r"\([^)]+\+\)\+",  # Nested quantifiers like (a+)+
+            r"\([^)]+\*\)\*",  # Nested quantifiers like (a*)*
+        ]
+
+        # Check if pattern is potentially dangerous
+        is_dangerous = any(
+            re.search(dangerous, input_data.pattern) for dangerous in dangerous_patterns
+        )
+
+        # Use regex module with timeout for dangerous patterns
+        # For safe patterns, use standard re module for compatibility
+        try:
+            matches = []
+            match_count = 0
+
+            if is_dangerous:
+                # Use regex module with timeout (5 seconds) for dangerous patterns
+                # The regex module supports timeout parameter in finditer
+                try:
+                    for match in regex.finditer(
+                        input_data.pattern, txt, flags=flags, timeout=5.0
+                    ):
+                        if match_count >= MAX_MATCHES:
+                            break
+                        if input_data.group <= len(match.groups()):
+                            match_text = match.group(input_data.group)
+                            # Limit match length to prevent memory exhaustion
+                            if len(match_text) > MAX_MATCH_LENGTH:
+                                match_text = match_text[:MAX_MATCH_LENGTH]
+                            matches.append(match_text)
+                            match_count += 1
+                except regex.error as e:
+                    # Timeout occurred or regex error
+                    if "timeout" in str(e).lower():
+                        # Timeout - return empty results
+                        pass
+                    else:
+                        # Other regex error
+                        raise
+            else:
+                # Use standard re module for non-dangerous patterns
+                for match in re.finditer(input_data.pattern, txt, flags):
+                    if match_count >= MAX_MATCHES:
+                        break
+                    if input_data.group <= len(match.groups()):
+                        match_text = match.group(input_data.group)
+                        # Limit match length to prevent memory exhaustion
+                        if len(match_text) > MAX_MATCH_LENGTH:
+                            match_text = match_text[:MAX_MATCH_LENGTH]
+                        matches.append(match_text)
+                        match_count += 1
+
+            if not input_data.find_all:
+                matches = matches[:1]
+
+            for match in matches:
+                yield "positive", match
+            if not matches:
+                yield "negative", input_data.text
+
+            yield "matched_results", matches
+            yield "matched_count", len(matches)
+        except Exception:
+            # Return empty results on any regex error
+            yield "negative", input_data.text
+            yield "matched_results", []
+            yield "matched_count", 0
 
 
 class FillTextTemplateBlock(Block):
diff --git a/autogpt_platform/backend/backend/blocks/xml_parser.py b/autogpt_platform/backend/backend/blocks/xml_parser.py
index a3d5854499..9ff4578a06 100644
--- a/autogpt_platform/backend/backend/blocks/xml_parser.py
+++ b/autogpt_platform/backend/backend/blocks/xml_parser.py
@@ -26,6 +26,14 @@ class XMLParserBlock(Block):
         )
 
     async def run(self, input_data: Input, **kwargs) -> BlockOutput:
+        # Security fix: Add size limits to prevent XML bomb attacks
+        MAX_XML_SIZE = 10 * 1024 * 1024  # 10MB limit for XML input
+
+        if len(input_data.input_xml) > MAX_XML_SIZE:
+            raise ValueError(
+                f"XML too large: {len(input_data.input_xml)} bytes > {MAX_XML_SIZE} bytes"
+            )
+
         try:
             tokens = tokenize(input_data.input_xml)
             parser = Parser(tokens)
diff --git a/autogpt_platform/backend/backend/executor/activity_status_generator.py b/autogpt_platform/backend/backend/executor/activity_status_generator.py
index b0aa1c1243..b9d1ed7bd5 100644
--- a/autogpt_platform/backend/backend/executor/activity_status_generator.py
+++ b/autogpt_platform/backend/backend/executor/activity_status_generator.py
@@ -4,7 +4,12 @@ Module for generating AI-based activity status for graph executions.
 
 import json
 import logging
-from typing import TYPE_CHECKING, Any, NotRequired, TypedDict
+from typing import TYPE_CHECKING, Any, TypedDict
+
+try:
+    from typing import NotRequired
+except ImportError:
+    from typing_extensions import NotRequired
 
 from pydantic import SecretStr
 
diff --git a/autogpt_platform/backend/backend/util/file.py b/autogpt_platform/backend/backend/util/file.py
index 1fc52f9e6e..edf302fb34 100644
--- a/autogpt_platform/backend/backend/util/file.py
+++ b/autogpt_platform/backend/backend/util/file.py
@@ -66,6 +66,18 @@ async def store_media_file(
     base_path = Path(get_exec_file_path(graph_exec_id, ""))
     base_path.mkdir(parents=True, exist_ok=True)
 
+    # Security fix: Add disk space limits to prevent DoS
+    MAX_FILE_SIZE = 100 * 1024 * 1024  # 100MB per file
+    MAX_TOTAL_DISK_USAGE = 1024 * 1024 * 1024  # 1GB total per execution directory
+
+    # Check total disk usage in base_path
+    if base_path.exists():
+        current_usage = get_dir_size(base_path)
+        if current_usage > MAX_TOTAL_DISK_USAGE:
+            raise ValueError(
+                f"Disk usage limit exceeded: {current_usage} bytes > {MAX_TOTAL_DISK_USAGE} bytes"
+            )
+
     # Helper functions
     def _extension_from_mime(mime: str) -> str:
         ext = mimetypes.guess_extension(mime, strict=False)
@@ -108,6 +120,12 @@ async def store_media_file(
         filename = Path(path_part).name or f"{uuid.uuid4()}.bin"
         target_path = _ensure_inside_base(base_path / filename, base_path)
 
+        # Check file size limit
+        if len(cloud_content) > MAX_FILE_SIZE:
+            raise ValueError(
+                f"File too large: {len(cloud_content)} bytes > {MAX_FILE_SIZE} bytes"
+            )
+
         # Virus scan the cloud content before writing locally
         await scan_content_safe(cloud_content, filename=filename)
         target_path.write_bytes(cloud_content)
@@ -129,6 +147,12 @@ async def store_media_file(
         target_path = _ensure_inside_base(base_path / filename, base_path)
         content = base64.b64decode(b64_content)
 
+        # Check file size limit
+        if len(content) > MAX_FILE_SIZE:
+            raise ValueError(
+                f"File too large: {len(content)} bytes > {MAX_FILE_SIZE} bytes"
+            )
+
         # Virus scan the base64 content before writing
         await scan_content_safe(content, filename=filename)
         target_path.write_bytes(content)
@@ -142,6 +166,12 @@ async def store_media_file(
         # Download and save
         resp = await Requests().get(file)
 
+        # Check file size limit
+        if len(resp.content) > MAX_FILE_SIZE:
+            raise ValueError(
+                f"File too large: {len(resp.content)} bytes > {MAX_FILE_SIZE} bytes"
+            )
+
         # Virus scan the downloaded content before writing
         await scan_content_safe(resp.content, filename=filename)
         target_path.write_bytes(resp.content)
@@ -159,6 +189,18 @@ async def store_media_file(
         return MediaFileType(_strip_base_prefix(target_path, base_path))
 
 
+def get_dir_size(path: Path) -> int:
+    """Get total size of directory."""
+    total = 0
+    try:
+        for entry in path.glob("**/*"):
+            if entry.is_file():
+                total += entry.stat().st_size
+    except Exception:
+        pass
+    return total
+
+
 def get_mime_type(file: str) -> str:
     """
     Get the MIME type of a file, whether it's a data URI, URL, or local path.
diff --git a/autogpt_platform/backend/poetry.lock b/autogpt_platform/backend/poetry.lock
index 341f4379fa..ce769d4272 100644
--- a/autogpt_platform/backend/poetry.lock
+++ b/autogpt_platform/backend/poetry.lock
@@ -5377,106 +5377,127 @@ typing-extensions = {version = ">=4.4.0", markers = "python_version < \"3.13\""}
 
 [[package]]
 name = "regex"
-version = "2024.11.6"
+version = "2025.9.18"
 description = "Alternative regular expression module, to replace re."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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+    {file = "regex-2025.9.18.tar.gz", hash = "sha256:c5ba23274c61c6fef447ba6a39333297d0c247f53059dba0bca415cac511edc4"},
 ]
 
 [[package]]
@@ -7252,4 +7273,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.14"
-content-hash = "b2363edeebb91f410039c8d4b563f683c1edb0cf4bda4f3e6c287040e93639bc"
+content-hash = "a19fcce9d4ab88f14eb1e5baa83e1e5a90c9995b04b84dae7cfa6257cf19012c"
diff --git a/autogpt_platform/backend/pyproject.toml b/autogpt_platform/backend/pyproject.toml
index 5af2114718..a9ad38a639 100644
--- a/autogpt_platform/backend/pyproject.toml
+++ b/autogpt_platform/backend/pyproject.toml
@@ -56,6 +56,7 @@ pytest-asyncio = "^1.1.0"
 python-dotenv = "^1.1.1"
 python-multipart = "^0.0.20"
 redis = "^6.2.0"
+regex = "^2025.9.18"
 replicate = "^1.0.6"
 sentry-sdk = {extras = ["anthropic", "fastapi", "launchdarkly", "openai", "sqlalchemy"], version = "^2.33.2"}
 sqlalchemy = "^2.0.40"
diff --git a/autogpt_platform/docker-compose.platform.yml b/autogpt_platform/docker-compose.platform.yml
index bf3d17fc33..b2df626029 100644
--- a/autogpt_platform/docker-compose.platform.yml
+++ b/autogpt_platform/docker-compose.platform.yml
@@ -117,6 +117,11 @@ services:
       - "8006:8006"
     networks:
       - app-network
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "3"
 
   executor:
     build:
@@ -147,6 +152,11 @@ services:
       - "8002:8002"
     networks:
       - app-network
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "3"
 
   websocket_server:
     build:
@@ -175,6 +185,11 @@ services:
       - "8001:8001"
     networks:
       - app-network
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "3"
 
   database_manager:
     build:
@@ -199,6 +214,11 @@ services:
       - "8005:8005"
     networks:
       - app-network
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "3"
 
   scheduler_server:
     build:
@@ -242,6 +262,11 @@ services:
       - "8003:8003"
     networks:
       - app-network
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "3"
 
   notification_server:
     build:
@@ -270,6 +295,11 @@ services:
       - "8007:8007"
     networks:
       - app-network
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "3"
   frontend:
     build:
       context: ../
@@ -286,6 +316,11 @@ services:
       - "3000:3000"
     networks:
       - app-network
+    logging:
+      driver: json-file
+      options:
+        max-size: "10m"
+        max-file: "3"
     # Load environment variables in order (later overrides earlier)
     env_file:
       - path: ./frontend/.env.default # Base defaults (always exists)