CVE-2024-23660
Binance Trust Wallet iOS Trezor-Crypto Library Timestamp-Based Mnemonic Seed Predictability
Description
The Binance Trust Wallet app for iOS in commit 3cd6e8f647fbba8b5d8844fcd144365a086b629f, git tag 0.0.4 misuses the trezor-crypto library and consequently generates mnemonic words for which the device time is the only entropy source, leading to economic losses, as exploited in the wild in July 2023. An attacker can systematically generate mnemonics for each timestamp within an applicable timeframe, and link them to specific wallet addresses in order to steal funds from those wallets.
INFO
Published Date :
Feb. 8, 2024, 8:15 p.m.
Last Modified :
Feb. 15, 2024, 4:01 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
3.9
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2024-23660.
| URL | Resource |
|---|---|
| https://milksad.info/posts/research-update-5/ | Exploit Third Party Advisory |
| https://secbit.io/blog/en/2024/01/19/trust-wallets-fomo3d-summer-vuln/ | Exploit Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-23660 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-23660 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Feb. 15, 2024
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N Changed Reference Type https://milksad.info/posts/research-update-5/ No Types Assigned https://milksad.info/posts/research-update-5/ Exploit, Third Party Advisory Changed Reference Type https://secbit.io/blog/en/2024/01/19/trust-wallets-fomo3d-summer-vuln/ No Types Assigned https://secbit.io/blog/en/2024/01/19/trust-wallets-fomo3d-summer-vuln/ Exploit, Third Party Advisory Added CWE NIST CWE-338 Added CPE Configuration OR *cpe:2.3:a:binance:trust_wallet:0.0.4:*:*:*:*:iphone_os:*:* -
CVE Received by [email protected]
Feb. 08, 2024
Action Type Old Value New Value Added Description The Binance Trust Wallet app for iOS in commit 3cd6e8f647fbba8b5d8844fcd144365a086b629f, git tag 0.0.4 misuses the trezor-crypto library and consequently generates mnemonic words for which the device time is the only entropy source, leading to economic losses, as exploited in the wild in July 2023. An attacker can systematically generate mnemonics for each timestamp within an applicable timeframe, and link them to specific wallet addresses in order to steal funds from those wallets. Added Reference MITRE https://milksad.info/posts/research-update-5/ [No types assigned] Added Reference MITRE https://secbit.io/blog/en/2024/01/19/trust-wallets-fomo3d-summer-vuln/ [No types assigned]
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-23660 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2024-23660
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.05 }} 0.00%
score
0.14393
percentile