CVE-2025-64429 Vulnerability Analysis & Exploit Details

CVE-2025-64429
Vulnerability Scoring

Analysis In Progress
Analysis In Progress

Attack Complexity Details

  • Attack Complexity:
    Attack Complexity Analysis In Progress
  • Attack Vector:
    Attack Vector Under Analysis
  • Privileges Required: None
    No authentication is required for exploitation.
  • Scope:
    Impact is confined to the initially vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2025-64429 Details

Status: Received on 12 Nov 2025, 22:15 UTC

Published on: 12 Nov 2025, 22:15 UTC

CVSS Release:

CVE-2025-64429 Vulnerability Summary

CVE-2025-64429: DuckDB is a SQL database management system. DuckDB implemented block-based encryption of DB on the filesystem starting with DuckDB 1.4.0. There are a few issues related to this implementation. The DuckDB can fall back to an insecure random number generator (pcg32) to generate cryptographic keys or IVs. When clearing keys from memory, the compiler may remove the memset() and leave sensitive data on the heap. By modifying the database header, an attacker could downgrade the encryption mode from GCM to CTR to bypass integrity checks. There may be a failure to check return value on call to OpenSSL `rand_bytes()`. An attacker could use public IVs to compromise the internal state of RNG and determine the randomly generated key used to encrypt temporary files, get access to cryptographic keys if they have access to process memory (e.g. through memory leak),circumvent GCM integrity checks, and/or influence the OpenSSL random number generator and DuckDB would not be able to detect a failure of the generator. Version 1.4.2 has disabled the insecure random number generator by no longer using the fallback to write to or create databases. Instead, DuckDB will now attempt to install and load the OpenSSL implementation in the `httpfs` extension. DuckDB now uses secure MbedTLS primitive to clear memory as recommended and requires explicit specification of ciphers without integrity checks like CTR on `ATTACH`. Additionally, DuckDB now checks the return code.

Assessing the Risk of CVE-2025-64429

Access Complexity Graph

The exploitability of CVE-2025-64429 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2025-64429

No exploitability data is available for CVE-2025-64429.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2025-64429, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2025-64429, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: None
    CVE-2025-64429 does not compromise confidentiality.
  • Integrity: None
    CVE-2025-64429 does not impact data integrity.
  • Availability: None
    CVE-2025-64429 does not affect system availability.

CVE-2025-64429 References

External References

CWE Common Weakness Enumeration

CWE-327

CAPEC Common Attack Pattern Enumeration and Classification

  • Encryption Brute Forcing CAPEC-20 An attacker, armed with the cipher text and the encryption algorithm used, performs an exhaustive (brute force) search on the key space to determine the key that decrypts the cipher text to obtain the plaintext.
  • Creating a Rogue Certification Authority Certificate CAPEC-459 An adversary exploits a weakness resulting from using a hashing algorithm with weak collision resistance to generate certificate signing requests (CSR) that contain collision blocks in their "to be signed" parts. The adversary submits one CSR to be signed by a trusted certificate authority then uses the signed blob to make a second certificate appear signed by said certificate authority. Due to the hash collision, both certificates, though different, hash to the same value and so the signed blob works just as well in the second certificate. The net effect is that the adversary's second X.509 certificate, which the Certification Authority has never seen, is now signed and validated by that Certification Authority.
  • Signature Spoof CAPEC-473 An attacker generates a message or datablock that causes the recipient to believe that the message or datablock was generated and cryptographically signed by an authoritative or reputable source, misleading a victim or victim operating system into performing malicious actions.
  • Signature Spoofing by Improper Validation CAPEC-475 An adversary exploits a cryptographic weakness in the signature verification algorithm implementation to generate a valid signature without knowing the key.
  • Cryptanalysis of Cellular Encryption CAPEC-608 The use of cryptanalytic techniques to derive cryptographic keys or otherwise effectively defeat cellular encryption to reveal traffic content. Some cellular encryption algorithms such as A5/1 and A5/2 (specified for GSM use) are known to be vulnerable to such attacks and commercial tools are available to execute these attacks and decrypt mobile phone conversations in real-time. Newer encryption algorithms in use by UMTS and LTE are stronger and currently believed to be less vulnerable to these types of attacks. Note, however, that an attacker with a Cellular Rogue Base Station can force the use of weak cellular encryption even by newer mobile devices.
  • Rooting SIM Cards CAPEC-614 SIM cards are the de facto trust anchor of mobile devices worldwide. The cards protect the mobile identity of subscribers, associate devices with phone numbers, and increasingly store payment credentials, for example in NFC-enabled phones with mobile wallets. This attack leverages over-the-air (OTA) updates deployed via cryptographically-secured SMS messages to deliver executable code to the SIM. By cracking the DES key, an attacker can send properly signed binary SMS messages to a device, which are treated as Java applets and are executed on the SIM. These applets are allowed to send SMS, change voicemail numbers, and query the phone location, among many other predefined functions. These capabilities alone provide plenty of potential for abuse.
  • Cryptanalysis CAPEC-97 Cryptanalysis is a process of finding weaknesses in cryptographic algorithms and using these weaknesses to decipher the ciphertext without knowing the secret key (instance deduction). Sometimes the weakness is not in the cryptographic algorithm itself, but rather in how it is applied that makes cryptanalysis successful. An attacker may have other goals as well, such as: Total Break (finding the secret key), Global Deduction (finding a functionally equivalent algorithm for encryption and decryption that does not require knowledge of the secret key), Information Deduction (gaining some information about plaintexts or ciphertexts that was not previously known) and Distinguishing Algorithm (the attacker has the ability to distinguish the output of the encryption (ciphertext) from a random permutation of bits).

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