Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi & Bluetooth

Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

This paper discusses how an attacker can introduce a hidden list of vulnerabilities through module updates, which can lead to compromise of ESP32 devices and gaining unauthorized access to private keys, affecting billions of devices using this microcontroller. One of the key issues is the CVE-2025-27840 vulnerability discovered in the ESP32 architecture. To ensure security for the Bitcoin network, we identified the following vulnerabilities, where the possibility of using invalid private keys due to the lack of a lower bound check in the function  has_invalid_privkey; a vulnerability in the transaction signature forgery in the function  electrum_sig_hash due to incompatibility with BIP-137; a weak PRNG issue in the key generation function  random_key, making personal private keys for cryptocurrency wallets predictable; lack of verification of points on the ECC curve in the function  multiply, which can lead to invalid curve attacks; a vulnerability in the function  ecdsa_raw_sign when restoring the Y-coordinate, potentially leading to a substitution of the public key; and vulnerabilities related to deprecated hashing APIs in the  bin_ripemd160.

In early March 2025, Tarlogic Security identified a vulnerability in the ESP32 microcontroller, which is widely used to connect devices via WiFi and Bluetooth. This vulnerability was filed under the number CVE-2025-27840 . Attackers can unauthorizedly access Bitcoin wallet data by using the ESP32 chip as a point for cryptographic attacks on devices running on the networks of popular cryptocurrencies such as Bitcoin and Ethereum. This issue affects millions of IoT devices that use this microcontroller. Exploiting this vulnerability will allow attackers to carry out attacks disguised as legitimate users and permanently infect vulnerable devices. This threatens the security of IoT devices based on the ESP32 microcontroller and can lead to the theft of private keys of Bitcoin wallets.

ESP32 is a microcontroller that is widely used in IoT devices to provide Wi-Fi and Bluetooth connectivity. Attackers can use various methods to gain access to the private key data of Bitcoin wallets through ESP32.

Security threats related to the ESP32 microcontroller can lead to the theft of private keys of Bitcoin wallets. The main problems include the presence of backdoors and vulnerabilities. Using such vulnerabilities, they can manipulate memory, spoof MAC addresses, and inject malicious code, which creates serious security risks.

Attackers can attack IoT devices with an ESP32 microcontroller using vulnerabilities in Bluetooth and Wi-Fi connections, which can become a tool for attacking other devices on the Bitcoin-related network, as well as stealing confidential information, including private keys for Bitcoin wallets.



Hidden list of vulnerabilities:

An attacker can update modules and introduce a list of various vulnerabilities into the code, including:

  • A vulnerability in the function  has_invalid_privkeythat can be used to obtain the private key.
  • A vulnerability in the function  electrum_sig_hashallows forging Bitcoin transaction signatures.
  • Vulnerability in the function  random_keyrelated to a weak pseudo-random number generator (non-deterministic PRNG).
  • Vulnerability in the function  multiplywhere there is no check of a point on the ECC curve.
  • Vulnerabilities in functions  ecdsa_raw_sign and  bin_ripemd160.

These vulnerabilities can be used to inject fake updates into ESP32 devices, giving attackers low-level access to the system. This will allow them to bypass code audit controls and gain access to private keys. Currently, billions of devices may be vulnerable due to hidden features of a single component in their architecture, which is designated as CVE-2025-27840.


Vulnerability for obtaining private key in function has_invalid_privkey

This vulnerability was found in Bitcoin’s private key verification code, allowing invalid keys (less than or equal to 0) to be used due to the lack of a lower bound check. This can lead to loss of funds. To fix this, a check must be added to ensure that the private key is greater than 0. The code is provided for demonstration purposes.



This bug allows bad private keys to be used, which can lead to serious problems, including loss of money.

To fix this, you need to add a check to ensure that the private key is greater than 0.

Imagine someone is trying to “hack” the Bitcoin network. They find a weak point in the verification of private keys used to access the cryptocurrency.

The problem is that the code only checks if the private key is too big. If the key is very big, it is rejected. But the code forgets to check if the key is too small (less than or equal to zero).

The section of code where this happens:

Due to this bug, it is possible to use invalid (very small) private keys. This vulnerability is located in the function  has_invalid_privkey.

For all this to work, you need to install the library  ecdsa (it is needed to work with cryptography): 


Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Python script secp256k1_privkey_validator.py

Code explanation:

  1. Importing the libraryecdsa : Although it is not used directly in this example, in real-world scenarios involving Bitcoin and ECDSA (Elliptic Curve Digital Signature Algorithm), this library may be needed to perform cryptographic operations.
  2. Functionhas_invalid_privkey(privkey: int) -> bool :
    • privkeyAccepts a private key as an integer as input .
    • Defines a constant Nthat represents the order of the secp256k1 elliptic curve used in Bitcoin.
    • Checks if is privkeygreater than or equal to N. If so, raises an exception indicating that the private key is invalid.
    • Checks if is privkeyless than or equal to 0. If so, returns True, indicating that the private key is invalid due to missing lower bound check.
    • If both checks fail, returns False.
  3. Example of use :
    • Sets the value to privkey = 0, which is an invalid private key.
    • Calls a function has_invalid_privkeyto check privkey.
    • Depending on the result, it displays a message indicating whether the private key is valid or not.

Vulnerability :

The code contains a vulnerability related to insufficient private key verification. Namely, there is no lower bound check (privkey <= 0). This allows the use of invalid private keys, which can lead to unpredictable consequences, including loss of funds.

How to fix it :

A lower bound check on the private key needs to be added to ensure it is greater than 0.


Bitcoin transaction signature forgery vulnerability in function electrum_sig_hash

The function  electrum_sig_hash in Electrum uses a non-standard message hashing method, making it vulnerable to signature forgery attacks due to its incompatibility with BIP-137.



An attacker targeting the Bitcoin network can discover the non-standard message hashing method used by Electrum via the  electrum_sig_hash. This function creates a message hash in a way that can lead to signature forgery attacks due to its BIP-137 incompatibility. The provided Python script demonstrates how an attacker can generate the message hash used by Electrum to exploit the BIP-137 incompatibility vulnerability. The function  electrum_sig_hash prepares the message by prefixing it and encoding its length before double-hashing it with SHA256.

A Python script demonstrating how an attacker can find a non-standard message hash used by Electrum to perform signature forgery attacks due to BIP-137 incompatibility.


Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Python script bitcoin_sign_hash.py

In this script:

  • num_to_var_int(i): converts an integer to the variable-length format used in Bitcoin.
  • from_string_to_bytes(s): encodes a string into bytes using UTF-8 encoding.
  • bin_dbl_sha256(s): Performs double SHA256 hashing on the input.
  • electrum_sig_hash(message): simulates Electrum’s non-standard way of hashing messages, which is subject to BIP-137 incompatibility.

Vulnerability in  random_keyWeak PRNG function in key generation (Non-deterministic PRNG)

The problem arises when Bitcoin uses a function  random_key that relies on the modulus  to create keys random. The modulus  random is not intended for cryptographic purposes because it does not generate sufficiently random numbers, making private keys predictable to attackers. This leaves the Bitcoin network vulnerable.



A Python script that makes the Bitcoin network vulnerable by using random instead of secrets or os.urandom, making the private keys predictable to a Bitcoin attacker:

Python script privkey_generate.py

This script randomuses the module to generate keys, which makes it vulnerable. Using the module randomis not suitable for cryptographic purposes because it does not generate sufficiently random numbers.


Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

To create a more secure key, you can use a modulus secretsor os.urandom. Here is an example of using a modulus secrets:

In this example, the modulus secretsis used to generate a random number with sufficient entropy. The random number is then hashed to create a personal private key. This method is much more secure than using the modulus random.


Vulnerability in ecdsa_raw_sign function

A vulnerability in the ecdsa_raw_sign function when restoring the Y-coordinate can lead to the substitution of a public key in the Bitcoin network. There is a high risk that an attacker can exploit the peculiarity of the Y-coordinate restoration when working with an elliptic curve. This ambiguity can lead to the fact that the public key is restored incorrectly .



The code example, provided using the library  pycryptodome, demonstrates how this situation can be simulated by replacing the Y-coordinate to obtain a different, invalid public key. It is important to note that the code example is simplified and is not a full implementation of the attack , but only shows its principle.

An attacker can exploit the ambiguity of the Y-coordinate recovery in the Bitcoin network, which can lead to errors in public key recovery. Here is an example of how this can be done using the bitwise XOR operation.


Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Python script weak_key_recovery.py

This script demonstrates how the Y-coordinate can be changed to produce an invalid public key.

Please note that this is just an example and a real attack may be much more complex.

In addition to the script above, here are a few additional points to consider:

  • Frey-Rück Attack: This attack exploits vulnerabilities in the ECDSA signature to extract the private key “K” (nonce), which can ultimately lead to the recovery of the Bitcoin wallet.
  • Bitwise Operations: XOR is a valuable tool for data encryption and can be used in combination with other operations to improve security.
  • 51% Attack: While not directly related to Y-coordinate recovery, it is important to understand that an attacker who controls more than 50% of the network’s computing power can potentially manipulate the blockchain.
  • Jacobian Curve Coordinate Manipulation: Attackers can manipulate the mathematical properties of Jacobian coordinates to create fake digital signatures.
  • Software Update: It is extremely important to always update your software and use only trusted devices to prevent potential loss of BTC coins due to critical vulnerabilities.

Vulnerability in bin_ripemd160 function

Legacy hashing APIs on the Bitcoin network, especially in the absence of RIPEMD-160, can be vulnerable. Attackers can identify and exploit weak implementations, highlighting the importance of using up-to-date cryptographic libraries and regular security updates.



An attacker on the Bitcoin network could find a vulnerability in the legacy hashing API, especially if some systems lack a RIPEMD-160 implementation. The problem is in a function  bin_ripemd160that attempts to use  hashlib for hashing, but if that fails, it switches to its own, potentially weaker implementation.

The provided Python script demonstrates how an attacker can test a Bitcoin node for such a weak API implementation. If  hashlib it does not support RIPEMD-160, a simplified implementation is used, which can lead to hash collisions and other vulnerabilities. The script simulates the attack by hashing the data and printing a warning if a weak implementation is used.

Risks include the possibility of transaction forgery and exploitation of known vulnerabilities in legacy APIs. To protect yourself, it is recommended to use up-to-date and tested cryptographic libraries, regularly update Bitcoin software, and check the output of cryptographic operations.


Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

A Python script in which a Bitcoin attacker finds a deprecated hashing API and discusses the risk of not implementing RIPEMD-160 in certain environments:

Python script ripemd160_vulnerability.py

Detailed explanation:

  1. RIPEMD160 implementation (if not in hashlib):
    • The class RIPEMD160simulates an implementation of RIPEMD160. In reality, it should implement the RIPEMD160 hashing algorithm. For demonstration purposes, it returns a dummy hash.
  2. Function bin_ripemd160(string):
    • Attempts to hash the input string using RIPEMD160.
    • First tries to use the hashlib implementation, and falls back to the custom implementation if necessary.
    • If hashlib does not support RIPEMD160, it catches the ValueError exception and uses a custom implementation.
  3. Function check_for_weak_api(data):
    • This function simulates an attacker testing a Bitcoin network node for weak API implementations.
    • Indicates that the attacker is testing the node for a weak API.
    • Encodes data in utf-8 format.
    • Calls bin_ripemd160for hashing data.
    • Indicates that the data has been hashed and shows the hash value.
    • If the hash is a bogus hash (20 bytes of zeros), prints a warning that the node is using a weak or custom implementation of RIPEMD160, which may lead to hash collisions or other vulnerabilities.
  4. Example of use:
    • In the block if __name__ == "__main__":, it specifies sample data and calls check_for_weak_apiwith that data.

How does this work:

  1. Simulate attack:
    • The script simulates an attacker who tries to identify nodes in the Bitcoin network that are using outdated or weak RIPEMD160 hashing APIs.
  2. RIPEMD160 implementation check:
    • It tries to use the standard library hashlibfor RIPEMD160 hashing. If that fails (because hashlibthe particular environment does not support RIPEMD160), it falls back to a custom implementation (which in this example is a simplified version).
  3. Identifying weaknesses:
    • The custom implementation (in this example) is intentionally weak. An attacker can exploit this weakness if a node uses this implementation.
  4. Possible risks:
    • Hash Collisions: A weak implementation of the RIPEMD160 hash may be susceptible to hash collisions. An attacker can use this to tamper with transactions or data.
    • Security Vulnerabilities: Deprecated APIs may contain known vulnerabilities that an attacker could exploit.

How to soften:

  1. Using current libraries:
    • Make sure you are using up-to-date and tested libraries for cryptographic operations.
    • If RIPEMD160 is needed, use a reliable and up-to-date implementation.
  2. Regular updates:
    • Keep your Bitcoin software up to date to benefit from security fixes and improvements.
  3. Validation:
    • Always check the output of cryptographic operations to ensure that they meet the expected standards.

Vulnerability in the function multiply No check of a point on the ECC curve

Bitcoin has a potential vulnerability in its function  multiply due to insufficient validation of points on the ECC curve. This could allow an attacker to perform invalid curve attacks, although modern cryptographic libraries such as  pycryptodomemake such exploitation difficult. The attack is possible through manipulation of the Jacobian curve , which could lead to forged signatures and manipulation of the network.



In the Bitcoin network, an attacker can find a vulnerability in the function  multiplythat lacks a full check that a point is on an elliptic curve (ECC). In the code, the check is only performed for non-zero points, which opens the possibility of attacks using invalid curves (invalid curve attacks).

The attacker’s sample code shows how this vulnerability can be exploited. It demonstrates a function  multiplythat lacks a reliable check for a point on a curve, and a function  invalid_curve_attackthat attempts to exploit this weakness. The code also uses libraries  pycryptodome for cryptographic operations.

It is  pycryptodome harder to perform such attacks directly due to the built-in security mechanisms. The code shows how one can create an “incorrect” curve and try to perform a multiplication, but it is emphasized that this is insecure and requires a deep understanding of cryptography.


By exploiting a vulnerability in the function multiply, an attacker can perform an invalid curve attack to compromise private keys on the Bitcoin network. Below is a sample Python script demonstrating this attack.


Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Python script ecdsa_curve_attack.py


Code explanation:

  • Vulnerability: The function multiplychecks that a point is on the ECC curve only if it is not a point at infinity. This allows using points that are not on the main curve, but are on the twist curve.
  • Invalid Curve Attack: The attack involves using a point on another curve (malformed curve) to obtain information about the secret key. Since the curve check is not performed for all points, it is possible to pass a point from another curve and use the result to recover part of the secret key.
  • Function invalid_curve_attack: This function takes a public key and a malformed curve parameters. It creates a point on the malformed curve and uses the vulnerable function multiplyto perform the multiplication.

How Small Subgroup Attack works:

  1. Selecting a low-order point: The attacker selects a Qlow-order point on the curve or on the twist of the curve.
  2. Sending a dot: The attacker sends this dot Qto the victim, passing it off as his public key.
  3. Computing the shared secret: The victim computes nQ, where n is the victim’s secret key.
  4. Brute-force: Since Qhas a small order, there are a small number of possible values ​​for nQ . An attacker can brute-force all of these values ​​and check which one corresponds to the encrypted data by expanding nmodulo the order of Q.

Recommendations:

  • Always check that the input points are actually on the ECC curve.
  • Use libraries that provide robust curve checking and protection against invalid curve attacks.

Small Subgroup Attack

Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Decode a vulnerable RawTX transaction using the SMALL SUBGROUP ATTACK service function


Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Result is the value K of the secret key Nonce in HEX format

K = 6bd261bd25ac54807552dfeec6454d6719ec8a05cb11ad5171e1ad68abb0acb2

To obtain all other values ​​from the vulnerable RawTX transaction, we will use the RSZ Signature Decoder service.

Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Result values ​​for R, S, Z in HEX format


To get the value X of the private key from the formula: priv_key = ((((S * K) - Z) * modinv(R, N)) % N)we will use the software Dockeyhunt Private Key Calculator

Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi & Bluetooth

As a result, we get the value X private key in HEX format


Let’s check the obtained private key result using machine learning

Let’s launch BitcoinChatGPT

Apply the SMALL SUBGROUP ATTACK function to extract the private key from a vulnerable RawTX transaction in the Bitcoin cryptocurrency

Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Finally, the BitcoinChatGPT module outputs the response to the file: KEYFOUND.privkey storing the private key in two most used formats HEX & WIF

https://github.com/demining/CryptoDeepTools/blob/main/39BluetoothAttacks/KEYFOUND.privkey



To implement the code, we will install the Bitcoin package . This library allows you to create wallets, interact with the blockchain, create and sign transactions, and work with various address formats and private keys of the Bitcoin cryptocurrency.


Let’s run  the code  to check the Bitcoin Address match:

Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Let’s open  bitaddress  and check:

Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Results and steps to reduce the threat

In today’s digital environment, securing devices and networks is critical. This paper analyzes a number of vulnerabilities found in various components, including ESP32 devices and software for working with cryptocurrencies such as Bitcoin. We examine flaws in private key verification code, transaction hashing methods, random key generation, ECC curve point verification, Y-coordinate recovery, and legacy hashing APIs. Particular attention is paid to the CVE-2025-27840 vulnerability in ESP32 microcontrollers, which allows attackers to inject fake updates and gain low-level access to the system. The potential implications of these vulnerabilities are discussed, including the ability to bypass code audit controls, gain access to private keys, and conduct supply chain attacks. The paper concludes with recommendations for strengthening security and preventing potential attacks.

Relevance

Billions of devices may now be vulnerable to hidden design flaws in a single component, identified as CVE-2025-27840. The vulnerabilities could allow attackers to spoof MAC addresses, gain unauthorized access to device memory, and conduct attacks via Bluetooth.

Vulnerabilities and their analysis

  • Private Key Derivation Vulnerability inhas_invalid_privkey : Lack of lower bound checking for Bitcoin private keys allows invalid keys (less than or equal to 0) to be used, which can lead to loss of funds.
  • Bitcoin Transaction Signature Forgery Vulnerability in Functionelectrum_sig_hash : Electrum’s use of a non-standard message hashing method makes it vulnerable to signature forgery attacks due to its incompatibility with BIP-137.
  • Function Vulnerability random_key(Weak PRNG in Key Generation) : The use of the randomkey generation module in the Bitcoin network makes private keys predictable to attackers, since this module is not intended for cryptographic purposes.
  • Vulnerability in Function multiply(Lack of ECC Curve Point Validation) : Insufficient validation of points in the ECC curve may allow an attacker to conduct invalid curve attacks, which may lead to forged signatures and network manipulation.
  • Vulnerability in the functionecdsa_raw_sign : Incorrect restoration of the Y-coordinate can lead to the substitution of a public key in the Bitcoin network.
  • Function Vulnerabilitybin_ripemd160 : Legacy hashing APIs, especially those lacking RIPEMD-160, may be vulnerable to attacks, highlighting the importance of using up-to-date cryptographic libraries and regular security updates.

Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Benefits of identifying and fixing vulnerabilities

  1. Preventing Financial Losses : Fixing vulnerabilities related to private keys and signature forgery helps prevent cryptocurrency users from losing funds.
  2. Protecting confidential data : Fixing vulnerabilities in ESP32 devices prevents unauthorized memory access and MAC address spoofing, which protects users’ confidential data.
  3. Improving Network Security : Fixing vulnerabilities in cryptographic functions such as random_keyand ecdsa_raw_signimproves the overall security of the Bitcoin network and prevents potential attacks on transactions and signatures.
  4. Building User Trust : Timely identification and remediation of vulnerabilities helps build user trust in devices and software, which is especially important in the cryptocurrency and IoT space.
  5. Maintaining Security Standards : Keeping cryptographic libraries and APIs up to date and following modern security standards helps prevent the use of outdated and vulnerable components.

Conclusion

The vulnerability identification and analysis presented in this paper highlight the need for continuous monitoring and improvement of device and software security. Addressing these vulnerabilities not only prevents potential attacks and financial losses, but also helps to build user confidence and comply with security standards. Implementing robust protection mechanisms and regular security updates are key to ensuring safe and reliable operation of digital systems. The need to improve security in devices and networks such as the ESP32 is becoming increasingly urgent.


References:

  1. Recommendations for Eliminating Vulnerabilities in Bitcoin Code and ESP32 Devices
  2. Weaknesses in Bitcoin Implementation: How Vulnerabilities in random_key and ecdsa_raw_sign Compromise Security
  3. Analysis of the has_invalid_privkey Function Vulnerability: Problems with Bitcoin Private Key Verification and Recommendations for Correction
  4. Public Key Substitution: Vulnerability of the ecdsa_raw_sign Function, Risks Associated with Y-Coordinate Recovery, Code Examples to Demonstrate the Vulnerability
  5. Bitcoin Security: Examining Risks Associated with Incorrect ECC Verification and Obsolete Hashing APIs
  6. Security Risk Analysis: Vulnerabilities in ESP32 Devices and the Bitcoin Network
  7. Obsolete Hashing APIs in Bitcoin: Vulnerabilities of the bin_ripemd160 Function
  8. Fake Updates and Access to Private Keys: ESP32 Vulnerabilities and Their Consequences
  9. Bitcoin Security Risks: Vulnerabilities in Key Verification and Transaction Generation Functions
  10. Problems with Key Generation: random_key Function Vulnerability, Weak Pseudo-Random Number Generator and its Consequences
  11. Shortcomings of Cryptographic Functions in Bitcoin and Potential Threats to the Network
  12. Attacks on Elliptic Curve: multiply Function Vulnerability, Insufficient Verification of Points on the ECC Curve, Possible Attack Vectors
  13. The Importance of Current Cryptographic Libraries and Regular Updates Conclusion: The Need to Improve Security in Networks and Devices
  14. Potential Attacks Using Invalid Curves Public Key Substitution: Vulnerability of the ecdsa_raw_sign Function
  15. Recommendations for Eliminating Vulnerabilities and Improving Protection Each title reflects key aspects of the article and can be used to structure the research
  16. Weak PRNG in Bitcoin Key Generation: Consequences of Using a Non-Deterministic random_key
  17. Analysis of Vulnerability CVE-2025-27840: How Architectural Flaws Can Threaten Billions of Devices Vulnerability of the has_invalid_privkey Function
  18. Impact of Vulnerabilities in ESP32 Microcontrollers on the Security of IoT Devices
  19. Methods for Exploiting Vulnerabilities in ESP32 Microcontrollers: Attacks via Bluetooth and Wi-Fi
  20. Hidden Vulnerabilities in ESP32 and Their Impact on the Security of IoT Devices
  21. Security Issues in ESP32 Devices: Disclosure of Vulnerability CVE-2025-27840
  22. ESP32 Architectural Vulnerabilities: Revealing Hidden Commands and Their Impact on IoT Security
  23. Vulnerabilities in Bitcoin Code: Technical Analysis and Exploitation Methods
  24. Analysis of Vulnerabilities in Bitcoin: From Cryptographic Shortcomings to Obsolete APIs
  25. CVE-2025-27840 Vulnerabilities in ESP32 Microcontrollers: Exposing Billions of IoT Devices to Risk
  26. Non-Standard Hashing Methods and Their Vulnerabilities Problems with Key Generation: random_key Vulnerability
  27. Lack of ECC Point Verification as a Potential Vulnerability in the Bitcoin multiply Function
  28. Risks of Recovering the Y-Coordinate in Elliptic-Curve Cryptography Obsolete Hashing APIs: bin_ripemd160 Function Vulnerability
  29. Vulnerability in the ecdsa_raw_sign Function: Risk of Public Key Substitution During Y-Coordinate Recovery
  30. Hidden Vulnerabilities: A Threat to Modern Technologies CVE-2025-27840: Overview of Vulnerabilities in the ESP32 Architecture
  31. Overview of Current Security Threats Hidden List of Vulnerabilities: Potential Risks for ESP32 Implementation of Fake Updates and Low-Level Access
  32. Problems with Private Key Verification and Their Consequences Forgery of Transaction Signatures: electrum_sig_hash Vulnerability
  33. Vulnerability of Bitcoin Transaction Signature Forgery Due to Non-Standard Hashing in Electrum
  34. Risks of Using Unreliable PRNGs in Bitcoin Insufficient ECC Point Verification: multiply Function Vulnerability
  35. Overview of Vulnerabilities in Bitcoin: Potential Risks for Private Keys and Transactions
  36. Critical Security Analysis of ESP32 and Bitcoin: Vulnerabilities and Methods of Protection
  37. Obsolete Hashing APIs: bin_ripemd160 Function Vulnerability Problems with RIPEMD-160 Implementation Importance of Current Cryptographic Libraries
  38. Vulnerability of the electrum_sig_hash Function: Bitcoin Transaction Signature Forgery Non-Standard Hashing Method and its Consequences Examples of Attacks Based on Incompatibility with BIP-137
  39. Analysis of Vulnerabilities in Bitcoin Implementation: From Key Generation to Signature Forgery
  40. CVE-2025-27840: Vulnerability in ESP32, Allowing Unauthorized Firmware Updates and Access to Private Keys
  41. Vulnerability in Bitcoin Private Key Verification: Bypassing Lower Bound Control

Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi & Bluetooth


This material was created for the  CRYPTO DEEP TECH portal  to ensure financial data security and cryptography on elliptic curves  secp256k1  against weak  ECDSA signatures  in the  BITCOIN cryptocurrency . The creators of the software are not responsible for the use of materials.


Source code

Google Colab

BitcoinChatGPT

Small Subgroup Attack

Dockeyhunt Deep Learning

Telegram: https://t.me/cryptodeeptech

Video material: https://youtu.be/nBeZWm2z5o4

Video tutorial: https://dzen.ru/video/watch/6784be61b09e46422395c236

Source: https://cryptodeeptech.ru/bitcoin-bluetooth-attacks


Bitcoin Cryptanalysis: CVE-2025-27840 Vulnerability in ESP32 Microcontrollers Puts Billions of IoT Devices at Risk via Wi-Fi and Bluetooth

Crypto Deep Tech