Now if this file gets removed the application breaks and the full path traversal is shown by navigating to /core/authorize.php as is shown in the image.

⚡️ #OpenAI's New 00-a-Month #ChatGPT Pro: A Deep Dive

https://undercodenews.com/openais-new-00-a-month-chatgpt-pro-a-deep-dive/

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🔗 Teenager Arrested for #Cybercrime Linked to Notorious Scattered Spider Gang

https://undercodenews.com/teenager-arrested-for-cybercrime-linked-to-notorious-scattered-spider-gang/

@Undercode_News

⚡️ #GitHub's Latest Updates: A Closer Look

https://undercodenews.com/githubs-latest-updates-a-closer-look/

@Undercode_News

⚠️ Important Updates for #GitHub Actions Users: Stay Ahead of the Curve!

https://undercodenews.com/important-updates-for-github-actions-users-stay-ahead-of-the-curve/

@Undercode_News

🚨 A Critical Vulnerability in Mitel MiCollab: A New Threat Landscape

https://undercodenews.com/a-critical-vulnerability-in-mitel-micollab-a-new-threat-landscape/

@Undercode_News

Beauty and the Beast: 2025's Trending Looks and Lifestyles

https://undercodenews.com/beauty-and-the-beast-2025s-trending-looks-and-lifestyles/

@Undercode_News

🛡️ CISA's Secure-by-Design: A Step Forward, But Challenges Remain

https://undercodenews.com/cisas-secure-by-design-a-step-forward-but-challenges-remain/

@Undercode_News

Universal AI Jailbreak SMASHES GPT4, Claude, Gemini, LLaMA

https://youtu.be/9IM5d-egZ7M

MrBeast's Epic Reality Show: A Million Gamble

https://undercodenews.com/mrbeasts-epic-reality-show-a-million-gamble/

@Undercode_News

🦑xx Deep Fake Videos Notes :

---

How Deepfakes Are Created:

#### 1. Understanding Deepfakes
Deepfakes are AI-generated videos or images where someone's face or voice is swapped or synthesized using machine learning techniques. They are often made with deep learning algorithms, particularly Generative Adversarial Networks (GANs) or autoencoders.

---

#### 2. Tools and Technologies Used
Creating deepfakes involves the following tools:

- DeepFaceLab: The most popular open-source tool for creating deepfake videos.
- FaceSwap: Another open-source tool with a user-friendly interface.
- First-Order Motion Model: Generates animations using reference images and motion vectors.
- DeepFakeGenerator: Often used for quick results with less control over quality.

---

#### 3. The Process
1. Collect Data:
- Gather high-quality video/images of the target (person to fake).
- More data = better quality. Include various angles and expressions.

2. Preprocessing:
- Detect and extract the face from all frames using facial recognition tools.
- Tools like dlib, MTCNN, or OpenCV can help with this.
- Align and normalize the faces to make them consistent.

3. Train the Model:
- Use an autoencoder or GAN-based model to train on the extracted faces.
- The model learns to replicate and map the source face onto the target face.
- Training can take days or weeks, depending on hardware and dataset size.

4. Face Swapping:
- Once trained, the model generates fake frames with the source face mapped onto the target video.

5. Postprocessing:
- Use video editing tools to blend the fake face seamlessly with the target.
- Adjust lighting, shadows, and other effects for realism.

6. Generate the Final Output:
- Combine the processed frames back into a video.

---

#### 4. Ethical Considerations
The challenge might also require discussing:
- The risks of misuse, such as in disinformation or explicit content.
- Legal and ethical implications.
- Techniques to detect and prevent deepfakes (e.g., AI-based detection algorithms).

---

#### Sample Code for Basics
Here's a simplified Python example using OpenCV to detect and align faces:

import cv2

# Load pre-trained face detection model
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

# Read the image
image = cv2.imread('source_image.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Detect faces
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)

# Draw rectangles around faces
for (x, y, w, h) in faces:
    cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)

cv2.imshow('Detected Faces', image)
cv2.waitKey(0)
cv2.destroyAllWindows()

---

### Key Points to Include
- Explain how GANs or autoencoders are essential for deepfake creation.
- Provide examples of tools like DeepFaceLab or code snippets (if allowed).
- Address ethical challenges.

This guide is for educational purposes only.🙂

🛡️ FCC Proposes Landmark Cybersecurity Rules for Telecom Providers

https://undercodenews.com/fcc-proposes-landmark-cybersecurity-rules-for-telecom-providers/

@Undercode_News

#SpaceX Dragon Splashdown Delayed Due to Weather, Station Crew Prepares for Busy Week

https://undercodenews.com/spacex-dragon-splashdown-delayed-due-to-weather-station-crew-prepares-for-busy-week/

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🚨 A Stealthy Cyberattack: Chinese Hackers Breach Major US Organization

https://undercodenews.com/a-stealthy-cyberattack-chinese-hackers-breach-major-us-organization/

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🔵 sigstore-#java: Insufficient Verification of Inclusion Proof Checkpoint (#CVE-TBD)

https://dailycve.com/sigstore-java-insufficient-verification-of-inclusion-proof-checkpoint-cve-tbd/

@Daily_CVE

⚠️ Russian APT BlueAlpha Leverages Cloudflare Tunnels to Evade Detection

https://undercodenews.com/russian-apt-bluealpha-leverages-cloudflare-tunnels-to-evade-detection/

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🔴 Directus: Client-Side #HTML Injection (#CVE-2024-54128) - Critical

https://dailycve.com/directus-client-side-html-injection-cve-2024-54128-critical/

@Daily_CVE

🖥️ Cars Drives Auto Repair Industry Forward with #AI-Powered Platform and Major Funding

https://undercodenews.com/cars-drives-auto-repair-industry-forward-with-ai-powered-platform-and-major-funding/

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🦑Cryptographic operations:

---

### 1. [libsodium](https://github.com/jedisct1/libsodium)
- Description: A modern, easy-to-use crypto library designed for security and performance.
- Features:
- Symmetric encryption (secretbox)
- Public-key encryption (box)
- Key derivation, signing, hashing, and random number generation
- Use Case: General-purpose cryptographic operations.

---

### 2. [age](https://github.com/FiloSottile/age)
- Description: A simple, modern, and secure encryption tool.
- Features:
- Designed for encrypting files with minimal configuration.
- Supports passphrases and SSH keys for decryption.
- Use Case: File encryption and secure file sharing.

---

### 3. [PyCryptodome](https://github.com/Legrandin/pycryptodome)
- Description: A self-contained Python package for cryptography.
- Features:
- Symmetric ciphers (AES, ChaCha20, etc.)
- Public-key algorithms (RSA, DSA, ECC)
- Cryptographic hashes (SHA, MD5)
- Use Case: Building encryption into Python applications.

---

### 4. [OpenSSL](https://github.com/openssl/openssl)
- Description: A robust toolkit for SSL/TLS protocols and general-purpose cryptography.
- Features:
- Encryption/decryption using symmetric and asymmetric algorithms.
- SSL/TLS implementation.
- Extensive support for various cipher suites.
- Use Case: Secure communication and application-level encryption.

---

### 5. [Tink](https://github.com/google/tink)
- Description: A multi-language, cross-platform library for cryptographic operations by Google.
- Features:
- Simplified APIs for common cryptographic use cases.
- High-level encryption, decryption, and key management.
- Use Case: Easy-to-use cryptographic operations for developers.

---

### 6. [VeraCrypt](https://github.com/veracrypt/VeraCrypt)
- Description: Disk encryption software based on TrueCrypt.
- Features:
- Full-disk encryption with advanced security features.
- Support for hidden volumes.
- Use Case: Secure storage of sensitive data.

---

### 7. [cryptography](https://github.com/pyca/cryptography)
- Description: A Python library that provides cryptographic recipes and primitives.
- Features:
- Symmetric and asymmetric encryption.
- X.509 certificate parsing.
- Secure random number generation.
- Use Case: Secure data transmission and application-layer encryption in Python.

---

### 8. [GPG](https://github.com/gpg/gnupg)
- Description: The GNU Privacy Guard, an implementation of OpenPGP.
- Features:
- Encrypt and sign data and communications.
- Key management and public key encryption.
- Use Case: Encrypting emails and files securely.

---

### 9. [rnp](https://github.com/rnpgp/rnp)
- Description: OpenPGP library and CLI tool compatible with GPG.
- Features:
- Encrypting, decrypting, signing, and verifying messages.
- Key generation and management.
- Use Case: OpenPGP encryption in modern applications.

---

### 10. [NaCl (Networking and Cryptography Library)](https://github.com/libsodium/libsodium)
- Description: A low-level cryptography library offering high-performance cryptographic primitives.
- Features:
- Public-key, secret-key, and hash-based cryptographic operations.
- Focus on simplicity and security.
- Use Case: Performance-focused cryptographic solutions.

---

### 11. [CryFS](https://github.com/cryfs/cryfs)
- Description: Cryptographic filesystem for securing cloud storage.
- Features:
- Transparent file encryption.
- Data integrity verification.
- Use Case: Encrypting files in cloud storage services like Dropbox or Google Drive.

---

### 12. [sops](https://github.com/mozilla/sops)
- Description: A tool for managing secrets with encryption.
- Features:
- Encrypts files using AWS KMS, GCP KMS, Azure Key Vault, or PGP.
- Supports YAML, JSON, ENV, and INI files.
- Use Case: Secure storage of configuration files and secrets.

Exploiting 70% of Windows Machines With IPv6 Vulnerability:

https://youtu.be/r-fqJaHRoHs

🔐 Romania's Election Under Siege: Cyberattacks and Social Media Manipulation

https://undercodenews.com/romanias-election-under-siege-cyberattacks-and-social-media-manipulation/

@Undercode_News