CVE-2023-7345

May 20, 2026, 2:16 p.m.

6.9
Medium

Description

Ledger Live with vulnerable versions of ledgerhq/hw-app-eth prior to 6.34.7 contains an integer parsing vulnerability that allows attackers to manipulate EIP-712 typed data messages by exploiting incorrect hexadecimal field parsing when values contain an odd number of characters. Attackers can obtain signatures on truncated or misinterpreted message values to authorize unintended blockchain transactions, such as asset transfers at incorrect amounts.

Product(s) Impacted

Vendor Product Versions
Ledgerhq
  • Hw-app-eth
  • <6.34.7

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-704
Incorrect Type Conversion or Cast
The product does not correctly convert an object, resource, or structure from one type to a different type.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a ledgerhq hw-app-eth <6.34.7 / / / / / / /

References

https://donjon.ledger.com/lsb/020/
https://www.vulncheck.com/advisories/ledger-live-hw-app-eth-eip-712-message-parsing-integer-truncation

Tags

[email protected]
CWE-704
2026-05-19
CVE-2023-7345

CVSS Score

6.9 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: ACTIVE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED

    • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: May 19, 2026, 10:16 p.m.
Last Modified: May 20, 2026, 2:16 p.m.

Status : Deferred

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

[email protected]

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.