Skip to content

IO FinNet tss-lib vulnerable to replay attacks involving proofs

Moderate severity GitHub Reviewed Published Apr 21, 2023 to the GitHub Advisory Database • Updated Feb 5, 2025

Package

gomod github.com/binance-chain/tss-lib (Go)

Affected versions

< 2.0.0

Patched versions

2.0.0
gomod github.com/bnb-chain/tss-lib (Go)
< 2.0.0
2.0.0

Description

An issue was discovered in IO FinNet tss-lib before 2.0.0. The parameter ssid for defining a session id is not used through the MPC implementation, which makes replaying and spoofing of messages easier. In particular, the Schnorr proof of knowledge implemented in sch.go does not utilize a session id, context, or random nonce in the generation of the challenge. This could allow a malicious user or an eavesdropper to replay a valid proof sent in the past.

References

Published by the National Vulnerability Database Apr 21, 2023
Published to the GitHub Advisory Database Apr 21, 2023
Reviewed Feb 5, 2025
Last updated Feb 5, 2025

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
High
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
None

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(36th percentile)

Weaknesses

CVE ID

CVE-2022-47930

GHSA ID

GHSA-c58h-qv6g-fw74

Source code

Loading Checking history
See something to contribute? Suggest improvements for this vulnerability.