Land Ho" was later rerecorded by Roger Hodgson for his 1987 solo album Hai Hai (with new lyrics).

ERROR: [youtube] ZrQJaLemaoE: Failed to extract any player response; please report this issue on https://github.com/yt-dlp/yt-dlp/issues?q= , filling out the appropriate issue template. Confirm you are on the latest version using yt-dlp -U

Step 1: Extract!

from thepipe_api import thepipe # Extract multimodal content from a PDF pdf = thepipe.extract("path/to/paper.pdf") # Extract multimodal content from a YouTube video vid = thepipe.extract("https://youtu.be/dQw4w9WgXcQ") 

Step 2: Prepare the Input for GPT-4o

# Add a user query query = [{ "role": "user", "content": "Which figures from the paper would help answer the question at the end of the talk video?" }] # Combine the content to create the input prompt for GPT-4o messages = pdf + vid + query 

Step 3: Send the Input to GPT-4o

from openai import OpenAI # Initialize the OpenAI client openai_client = OpenAI() # Send the input to GPT-4o response = openai_client.chat.completions.create( model="gpt-4o", messages=messages, ) # Print the response print(response.choices[0].message.content) 

All done!

🇦🇹 Wochenende 16.5 - 19.5

🤌 Laurin’s Picks

1/ Thursday Special: Free Live Concert (Thur 19h - Free)

2/ Flohmarkt Karmelitamarkt (Thur-Fr 08-20h - Free)

3/ International Documentary Film Festival (Thur-Sun - €9)

4/ Asian & Austrian street food and culture festival (Fr-Sun 10-22h - Free)

5/ Open Air Rave (Sun 15-22h - €10)

🎨 A little bit of culture & other 💎

• The Sound of Everyday Life - Sound installation // Thur 18:30
• PowerPoint Karaoke // Thur 20-22:30
• Exhibition - Connection Generations and Stories // Fr 19h
• Opening Vienna Festwochen - Rathausplatz // Fr 21h
• Repair Festival // Fr, Sat 12-18h

🔥Party Party

• Überstunden Afterwork - Ziizuu // House, Disco
• Donnersdub - Club-U // Dub, Reggae
• Acid Lambada -SASS // Techno

• Afterwork -Sofiensäle // House, Disco, Pop
• Art Arttech - Camera Club // Techno
• Freuden Taumel - Flucc // Electronic
• Space Invaders - O der Klub // Disco, House, HipHop
• Herzfrequenz - Das Werk // Techno

• Wine & Dance - Volksgarten (Starts at 15h) // House
• Concert Mochana - Kramladen // Deutschpop
• 17 Years Viper Room - Viper Room // Rock, Punk, 80s
• Free OpenAir Rave - Himmerl & Wasser // Electronic

🇬🇧 English Version

🤌 Laurin’s Picks

1/ Thursday Special: Free Live Concert (Thur 19h - Free)

2/ Second Hand Market Karmelitamarkt (Thur-Fr 08-20h - Free)

3/ International Documentary Film Festival (Thur-Sun - €9)

4/ Asian & Austrian street food and culture festival (Fr-Sun 10-22h - Free)

5/ Open Air Rave (Sun 15-22h - €10)

🎨 A little bit of culture & other 💎

• The Sound of Everyday Life - Sound installation // Thur 18:30
• PowerPoint Karaoke // Thur 20-22:30
• Exhibition - Connection Generations and Stories // Fr 19h
• Opening Vienna Festwochen - Rathausplatz // Fr 21h
• Repair Festival // Fr, Sat 12-18h

🔥Party Party

• Überstunden Afterwork - Ziizuu // House, Disco
• Donnersdub - Club-U // Dub, Reggae
• Acid Lambada -SASS // Techno

• Afterwork -Sofiensäle // House, Disco, Pop
• Art Arttech - Camera Club // Techno
• Freuden Taumel - Flucc // Electronic
• Space Invaders - O der Klub // Disco, House, HipHop
• Herzfrequenz - Das Werk // Techno

• Wine & Dance - Volksgarten (Starts at 15h) // House
• Concert Mochana - Kramladen // Deutschpop
• 17 Years Viper Room - Viper Room // Rock, Punk, 80s
• Free OpenAir Rave - Himmerl & Wasser // Electronic

• Cosmic Soul - Pratersauna // Sex positive, techno, psytrance
• Steve Hope - Vienna Hope Beach Club // Electronic
• Live Music (Tobias Kirchebner) - Gleis Garten // Live concert
• Felix Jaehn - O der Klub // House
• Heaven Vienna (Orange Edition) - The Loft // Pop, House
• Kein Sonntag Ohne Techno - Schloss Cobenzl // Techno

⭐️️ How did I do?

• ❤️ Leiwand
• 😐 Meh
• 🥱 Mir ist immer noch ur langweilig, ich will mehr Content über ...
• 😡 Ich hasse dich, ich hasse den Newsletter - Du hast mir mein WE versaut

 
 <%= question.text %> 
 <% question.answerText.each_with_index do answer, a_index %> 
 
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Yes
 
 
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No
 
 
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I don't know
 
 
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• package: myCustomWheel==1.25.2
• repo: https://mycustomnexus.com
• trusted_host : myTrustedHost - can we do that ?

Step 1: Extract!

from thepipe_api import thepipe # Extract multimodal content from a PDF pdf = thepipe.extract("path/to/paper.pdf") # Extract multimodal content from a YouTube video vid = thepipe.extract("https://youtu.be/dQw4w9WgXcQ") 

Step 2: Prepare the Input for GPT-4o

# Add a user query query = [{ "role": "user", "content": "Which figures from the paper would help answer the question at the end of the talk video?" }] # Combine the content to create the input prompt for GPT-4o messages = pdf + vid + query 

Step 3: Send the Input to GPT-4o

from openai import OpenAI # Initialize the OpenAI client openai_client = OpenAI() # Send the input to GPT-4o response = openai_client.chat.completions.create( model="gpt-4o", messages=messages, ) # Print the response print(response.choices[0].message.content) 

All done!

C:\AI4\AI6>git pull fatal: not a git repository (or any of the parent directories): .git Collecting torch==2.1.2 Using cached (2473.9 MB) Collecting torchvision==0.16.2 Using cached (5.6 MB) Requirement already satisfied: typing-extensions in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (4.11.0) Requirement already satisfied: jinja2 in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (3.1.4) Requirement already satisfied: sympy in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (1.12) Requirement already satisfied: fsspec in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (2024.3.1) Requirement already satisfied: filelock in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (3.14.0) Requirement already satisfied: networkx in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (3.3) Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in c:\ai4\ai6\venv\lib\site-packages (from torchvision==0.16.2) (10.3.0) Requirement already satisfied: numpy in c:\ai4\ai6\venv\lib\site-packages (from torchvision==0.16.2) (1.26.4) Requirement already satisfied: requests in c:\ai4\ai6\venv\lib\site-packages (from torchvision==0.16.2) (2.31.0) Requirement already satisfied: MarkupSafe>=2.0 in c:\ai4\ai6\venv\lib\site-packages (from jinja2->torch==2.1.2) (2.1.5) Requirement already satisfied: charset-normalizer<4,>=2 in c:\ai4\ai6\venv\lib\site-packages (from requests->torchvision==0.16.2) (3.3.2) Requirement already satisfied: idna<4,>=2.5 in c:\ai4\ai6\venv\lib\site-packages (from requests->torchvision==0.16.2) (3.7) Requirement already satisfied: urllib3<3,>=1.21.1 in c:\ai4\ai6\venv\lib\site-packages (from requests->torchvision==0.16.2) (2.2.1) Requirement already satisfied: certifi>=2017.4.17 in c:\ai4\ai6\venv\lib\site-packages (from requests->torchvision==0.16.2) (2024.2.2) Requirement already satisfied: mpmath>=0.19 in c:\ai4\ai6\venv\lib\site-packages (from sympy->torch==2.1.2) (1.3.0) Installing collected packages: torch, torchvision Traceback (most recent call last): File "C:\AI4\AI6\launch.py", line 48, in  main() File "C:\AI4\AI6\launch.py", line 39, in main prepare_environment() File "C:\AI4\AI6\modules\launch_utils.py", line 380, in prepare_environment run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True) File "C:\AI4\AI6\modules\launch_utils.py", line 115, in run raise RuntimeError("\n".join(error_bits)) RuntimeError: Couldn't install torch. Command: "C:\AI4\AI6\venv\Scripts\python.exe" -m pip install torch==2.1.2 torchvision==0.16.2 --extra-index-url Error code: 3221225477https://download.pytorch.org/whl/cu121/torch-2.1.2%2Bcu121-cp310-cp310-win_amd64.whlhttps://download.pytorch.org/whl/cu121/torchvision-0.16.2%2Bcu121-cp310-cp310-win_amd64.whlhttps://download.pytorch.org/whl/cu121 

What's even more frustrating, is that on webui-user.bat startup, you do not even get errors in a consistent manner - sometimes without doing any changes they display one thing, sometimes they display something totally different. After finishing this post, I've clicked it once more and I get a different message:

C:\AI4\AI6>git pull fatal: not a git repository (or any of the parent directories): .git venv "C:\AI4\AI6\venv\Scripts\Python.exe" fatal: not a git repository (or any of the parent directories): .git fatal: not a git repository (or any of the parent directories): .git Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: 1.9.3 Commit hash:  Installing torch and torchvision Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu121 Requirement already satisfied: torch==2.1.2 in c:\ai4\ai6\venv\lib\site-packages (2.1.2+cu121) Collecting torchvision==0.16.2 Using cached (5.6 MB) Requirement already satisfied: filelock in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (3.14.0) Requirement already satisfied: networkx in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (3.3) Requirement already satisfied: jinja2 in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (3.1.4) Requirement already satisfied: sympy in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (1.12) Requirement already satisfied: typing-extensions in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (4.11.0) Requirement already satisfied: fsspec in c:\ai4\ai6\venv\lib\site-packages (from torch==2.1.2) (2024.3.1) Requirement already satisfied: requests in c:\ai4\ai6\venv\lib\site-packages (from torchvision==0.16.2) (2.31.0) Requirement already satisfied: numpy in c:\ai4\ai6\venv\lib\site-packages (from torchvision==0.16.2) (1.26.4) Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in c:\ai4\ai6\venv\lib\site-packages (from torchvision==0.16.2) (10.3.0) Requirement already satisfied: MarkupSafe>=2.0 in c:\ai4\ai6\venv\lib\site-packages (from jinja2->torch==2.1.2) (2.1.5) Requirement already satisfied: certifi>=2017.4.17 in c:\ai4\ai6\venv\lib\site-packages (from requests->torchvision==0.16.2) (2024.2.2) Requirement already satisfied: urllib3<3,>=1.21.1 in c:\ai4\ai6\venv\lib\site-packages (from requests->torchvision==0.16.2) (2.2.1) Requirement already satisfied: idna<4,>=2.5 in c:\ai4\ai6\venv\lib\site-packages (from requests->torchvision==0.16.2) (3.7) Requirement already satisfied: charset-normalizer<4,>=2 in c:\ai4\ai6\venv\lib\site-packages (from requests->torchvision==0.16.2) (3.3.2) Requirement already satisfied: mpmath>=0.19 in c:\ai4\ai6\venv\lib\site-packages (from sympy->torch==2.1.2) (1.3.0) Installing collected packages: torchvision Successfully installed torchvision-0.16.2+cu121 [notice] A new release of pip available: 22.2.1 -> 24.0 [notice] To update, run: C:\AI4\AI6\venv\Scripts\python.exe -m pip install --upgrade pip Traceback (most recent call last): File "C:\AI4\AI6\launch.py", line 48, in  main() File "C:\AI4\AI6\launch.py", line 39, in main prepare_environment() File "C:\AI4\AI6\modules\launch_utils.py", line 386, in prepare_environment raise RuntimeError( RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this checkhttps://download.pytorch.org/whl/cu121/torchvision-0.16.2%2Bcu121-cp310-cp310-win_amd64.whl 

C:\AI4\AI6>git pull fatal: not a git repository (or any of the parent directories): .git venv "C:\AI4\AI6\venv\Scripts\Python.exe" fatal: not a git repository (or any of the parent directories): .git fatal: not a git repository (or any of the parent directories): .git Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: 1.9.3 Commit hash:  Installing clip Traceback (most recent call last): File "C:\AI4\AI6\launch.py", line 48, in  main() File "C:\AI4\AI6\launch.py", line 39, in main prepare_environment() File "C:\AI4\AI6\modules\launch_utils.py", line 393, in prepare_environment run_pip(f"install {clip_package}", "clip") File "C:\AI4\AI6\modules\launch_utils.py", line 143, in run_pip return run(f'"{python}" -m pip {command} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}", live=live) File "C:\AI4\AI6\modules\launch_utils.py", line 115, in run raise RuntimeError("\n".join(error_bits)) RuntimeError: Couldn't install clip. Command: "C:\AI4\AI6\venv\Scripts\python.exe" -m pip install --prefer-binary Error code: 3221225477https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip 

C:\AI4\AI6>git pull fatal: not a git repository (or any of the parent directories): .git venv "C:\AI4\AI6\venv\Scripts\Python.exe" fatal: not a git repository (or any of the parent directories): .git fatal: not a git repository (or any of the parent directories): .git Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: 1.9.3 Commit hash:  Installing clip Traceback (most recent call last): File "C:\AI4\AI6\launch.py", line 48, in  main() File "C:\AI4\AI6\launch.py", line 39, in main prepare_environment() File "C:\AI4\AI6\modules\launch_utils.py", line 393, in prepare_environment run_pip(f"install {clip_package}", "clip") File "C:\AI4\AI6\modules\launch_utils.py", line 143, in run_pip return run(f'"{python}" -m pip {command} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}", live=live) File "C:\AI4\AI6\modules\launch_utils.py", line 115, in run raise RuntimeError("\n".join(error_bits)) RuntimeError: Couldn't install clip. Command: "C:\AI4\AI6\venv\Scripts\python.exe" -m pip install https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip --prefer-binary Error code: 1 stdout: Collecting https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip Downloading https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip (4.3 MB) ---------------------------------------- 4.3/4. 3 MB 11.0 MB/s eta 0:00:00 Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' Installing backend dependencies: started Installing backend dependencies: finished with status 'error' stderr: error: subprocess-exited-with-error pip subprocess to install backend dependencies did not run successfully. exit code: 3221225477 [0 lines of output] [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: subprocess-exited-with-error pip subprocess to install backend dependencies did not run successfully. exit code: 3221225477 See above for output. note: This error originates from a subprocess, and is likely not a problem with pip. 

import pandas urlpage = 'https://de.wikipedia.org/wiki/Abenberg' data = pandas.read_html(urlpage)[0] null = data.isnull() for x in range(len(data)): first = data.iloc[x][0] second = data.iloc[x][1] if not null.iloc[x][1] else "" print(first,second,"\n") 

import requests from bs4 import BeautifulSoup import pandas as pd def fetch_city_links(list_url): response = requests.get(list_url) if response.status_code != 200: print(f"Failed to retrieve the page: {list_url}") return [] soup = BeautifulSoup(response.content, 'html.parser') divs = soup.find_all('div', class_='column-multiple') href_list = [] for div in divs: li_items = div.find_all('li') for li in li_items: a_tags = li.find_all('a', href=True) href_list.extend(['https://de.wikipedia.org' + a['href'] for a in a_tags]) return href_list def scrape_infobox(url): response = requests.get(url) soup = BeautifulSoup(response.content, 'html.parser') infobox = soup.find('table', {'class': 'infobox'}) if not infobox: print(f"No infobox found on this page: {url}") return None data = {} for row in infobox.find_all('tr'): header = row.find('th') value = row.find('td') if header and value: data[header.get_text(" ", strip=True)] = value.get_text(" ", strip=True) return data def main(): list_url = 'https://de.wikipedia.org/wiki/Liste_der_St%C3%A4dte_und_Gemeinden_in_Bayern' city_links = fetch_city_links(list_url) all_data = [] for link in city_links: print(f"Scraping {link}") infobox_data = scrape_infobox(link) if infobox_data: infobox_data['URL'] = link all_data.append(infobox_data) df = pd.DataFrame(all_data) df.to_csv('wikipedia_infoboxes.csv', index=False) if __name__ == "__main__": main() 

import pandas urlpage = 'https://de.wikipedia.org/wiki/Abenberg' data = pandas.read_html(urlpage)[0] null = data.isnull() for x in range(len(data)): first = data.iloc[x][0] second = data.iloc[x][1] if not null.iloc[x][1] else "" print(first,second,"\n") 

import requests from bs4 import BeautifulSoup import pandas as pd def fetch_city_links(list_url): response = requests.get(list_url) if response.status_code != 200: print(f"Failed to retrieve the page: {list_url}") return [] soup = BeautifulSoup(response.content, 'html.parser') divs = soup.find_all('div', class_='column-multiple') href_list = [] for div in divs: li_items = div.find_all('li') for li in li_items: a_tags = li.find_all('a', href=True) href_list.extend(['https://de.wikipedia.org' + a['href'] for a in a_tags]) return href_list def scrape_infobox(url): response = requests.get(url) soup = BeautifulSoup(response.content, 'html.parser') infobox = soup.find('table', {'class': 'infobox'}) if not infobox: print(f"No infobox found on this page: {url}") return None data = {} for row in infobox.find_all('tr'): header = row.find('th') value = row.find('td') if header and value: data[header.get_text(" ", strip=True)] = value.get_text(" ", strip=True) return data def main(): list_url = 'https://de.wikipedia.org/wiki/Liste_der_St%C3%A4dte_und_Gemeinden_in_Bayern' city_links = fetch_city_links(list_url) all_data = [] for link in city_links: print(f"Scraping {link}") infobox_data = scrape_infobox(link) if infobox_data: infobox_data['URL'] = link all_data.append(infobox_data) df = pd.DataFrame(all_data) df.to_csv('wikipedia_infoboxes.csv', index=False) if __name__ == "__main__": main() 

• Mozilla Firefox is a web browser used to access the Internet.
• Mozilla Firefox ESR is a version of the web browser intended to be deployed in large organizations.
• Mozilla Thunderbird is an email client.

• Firefox ESR versions prior to 115.11
• Thunderbird versions prior to 115.11
• Firefox versions prior to 126

• Large and medium government entities: High
• Small government entities: High

• Large and medium business entities: High
• Small business entities: High

• Multiple WebRTC threads could have claimed a newly connected audio input leading to use-after-free. (CVE-2024-4764)
• A type check was missing when handling fonts in PDF.js, which would allow arbitrary JavaScript execution in the PDF.js context. (CVE-2024-4367)
• Web application manifests were stored by using an insecure MD5 hash which allowed for a hash collision to overwrite another application's manifest. This could have been exploited to run arbitrary code in another application's context. This issue only affects Firefox for Android. Other versions of Firefox are unaffected. (CVE-2024-4765)
• Different techniques existed to obscure the fullscreen notification in Firefox for Android. These could have lead to potential user confusion and spoofing attacks. This bug only affects Firefox for Android. Other versions of Firefox are unaffected. (CVE-2024-4766)
• If the browser.privatebrowsing.autostart preference is enabled, IndexedDB files were not properly deleted when the window was closed. This preference is disabled by default in Firefox and Thunderbird. (CVE-2024-4767)
• A bug in popup notifications' interaction with WebAuthn made it easier for an attacker to trick a user into granting permissions. (CVE-2024-4768)
• When importing resources using Web Workers, error messages would distinguish the difference between application/javascript responses and non-script responses. This could have been abused to learn information cross-origin. (CVE-2024-4769)
• When saving a page to PDF, certain font styles could have led to a potential use-after-free crash. (CVE-2024-4770)
• A memory allocation check was missing which would lead to a use-after-free if the allocation failed. This could have triggered a crash or potentially be leveraged to achieve code execution. (CVE-2024-4771)
• Memory safety bugs present in Firefox 125, Firefox ESR 115.10, and Thunderbird 115.10. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. (CVE-2024-4777)

• An HTTP digest authentication nonce value was generated using rand() which could lead to predictable values. (CVE-2024-4772)
• When a network error occurred during page load, the prior content could have remained in view with a blank URL bar. This could have been used to obfuscate a spoofed web site. (CVE-2024-4773)
• The ShmemCharMapHashEntry() code was susceptible to potentially undefined behavior by bypassing the move semantics for one of its data members. (CVE-2024-4774)
• An iterator stop condition was missing when handling WASM code in the built-in profiler, potentially leading to invalid memory access and undefined behavior. Note: This issue only affects the application when the profiler is running. (CVE-2024-4775)
• A file dialog shown while in full-screen mode could have resulted in the window remaining disabled. (CVE-2024-4776)
• Memory safety bugs present in Firefox 125. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. (CVE-2024-4778)

• Apply the stable channel update provided by Mozilla to vulnerable systems immediately after appropriate testing. (M1051: Update Software)
  • Safeguard 7.1 : Establish and Maintain a Vulnerability Management Process: Establish and maintain a documented vulnerability management process for enterprise assets. Review and update documentation annually, or when significant enterprise changes occur that could impact this Safeguard.
  • Safeguard 7.4: Perform Automated Application Patch Management: Perform application updates on enterprise assets through automated patch management on a monthly, or more frequent, basis.
  • Safeguard 7.5 : Perform Automated Vulnerability Scans of Internal Enterprise Assets: Perform automated vulnerability scans of internal enterprise assets on a quarterly, or more frequent, basis. Conduct both authenticated and unauthenticated scans, using a SCAP-compliant vulnerability scanning tool.
• Apply the Principle of Least Privilege to all systems and services. Run all software as a non-privileged user (one without administrative privileges) to diminish the effects of a successful attack. (M1026: Privileged Account Management)
  • Safeguard 4.7: Manage Default Accounts on Enterprise Assets and Software: Manage default accounts on enterprise assets and software, such as root, administrator, and other pre-configured vendor accounts. Example implementations can include: disabling default accounts or making them unusable.
  • Safeguard 5.4: Restrict Administrator Privileges to Dedicated Administrator Accounts: Restrict administrator privileges to dedicated administrator accounts on enterprise assets. Conduct general computing activities, such as internet browsing, email, and productivity suite use, from the user’s primary, non-privileged account.
• Use capabilities to detect and block conditions that may lead to or be indicative of a software exploit occurring. (M1050: Exploit Protection)
  • Safeguard 10.5: Enable Anti-Exploitation Features: Enable anti-exploitation features on enterprise assets and software, where possible, such as Microsoft® Data Execution Prevention (DEP), Windows® Defender Exploit Guard (WDEG), or Apple® System Integrity Protection (SIP) and Gatekeeper™.
• Restrict use of certain websites, block downloads/attachments, block JavaScript, restrict browser extensions, etc. (M1021: Restrict Web-Based Content)
  • Safeguard 9.2: Use DNS Filtering Services: Use DNS filtering services on all enterprise assets to block access to known malicious domains.
  • Safeguard 9.3: Maintain and Enforce Network-Based URL Filters: Enforce and update network-based URL filters to limit an enterprise asset from connecting to potentially malicious or unapproved websites. Example implementations include category-based filtering, reputation-based filtering, or through the use of block lists. Enforce filters for all enterprise assets.
  • Safeguard 9.6: Block Unnecessary File Types: Block unnecessary file types attempting to enter the enterprise’s email gateway.
• Block execution of code on a system through application control, and/or script blocking. (M1038: Execution Prevention)
  • Safeguard 2.5 : Allowlist Authorized Software: Use technical controls, such as application allowlisting, to ensure that only authorized software can execute or be accessed. Reassess bi-annually, or more frequently.
  • Safeguard 2.6 : Allowlist Authorized Libraries: Use technical controls to ensure that only authorized software libraries, such as specific .dll, .ocx, .so, etc., files, are allowed to load into a system process. Block unauthorized libraries from loading into a system process. Reassess bi-annually, or more frequently.
  • Safeguard 2.7 : Allowlist Authorized Scripts: Use technical controls, such as digital signatures and version control, to ensure that only authorized scripts, such as specific .ps1, .py, etc., files, are allowed to execute. Block unauthorized scripts from executing. Reassess bi-annually, or more frequently.
• Use capabilities to prevent suspicious behavior patterns from occurring on endpoint systems. This could include suspicious process, file, API call, etc. behavior. (M1040: Behavior Prevention on Endpoint)
  • Safeguard 13.2 : Deploy a Host-Based Intrusion Detection Solution: Deploy a host-based intrusion detection solution on enterprise assets, where appropriate and/or supported.
  • Safeguard 13.7 : Deploy a Host-Based Intrusion Prevention Solution: Deploy a host-based intrusion prevention solution on enterprise assets, where appropriate and/or supported. Example implementations include use of an Endpoint Detection and Response (EDR) client or host-based IPS agent.
• Inform and educate users regarding the threats posed by hypertext links contained in emails or attachments especially from un-trusted sources. Remind users not to visit un-trusted websites or follow links provided by unknown or un-trusted sources. (M1017: User Training)
  • Safeguard 14.1: Establish and Maintain a Security Awareness Program: Establish and maintain a security awareness program. The purpose of a security awareness program is to educate the enterprise’s workforce on how to interact with enterprise assets and data in a secure manner. Conduct training at hire and, at a minimum, annually. Review and update content annually, or when significant enterprise changes occur that could impact this Safeguard.
  • Safeguard 14.2: Train Workforce Members to Recognize Social Engineering Attacks: Train workforce members to recognize social engineering attacks, such as phishing, pre-texting, and tailgating.

Mozilla: https://www.mozilla.org/en-US/security/advisories/ https://www.mozilla.org/en-US/security/advisories/mfsa2024-21/ https://www.mozilla.org/en-US/security/advisories/mfsa2024-22/ https://www.mozilla.org/en-US/security/advisories/mfsa2024-23/