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tiny-secp256k1 vulnerable to private key extraction when signing a malicious JSON-stringifyable message in bundled environment

High severity GitHub Reviewed Published Jun 29, 2025 in bitcoinjs/tiny-secp256k1 • Updated Jul 1, 2025

Package

npm tiny-secp256k1 (npm)

Affected versions

<= 1.1.6

Patched versions

1.1.7

Description

Summary

Private key can be extracted on signing a malicious JSON-stringifiable object, when global Buffer is buffer package

Details

This affects only environments where require('buffer') is https://npmjs.com/buffer
E.g.: browser bundles, React Native apps, etc.

Buffer.isBuffer check can be bypassed, resulting in k reuse for different messages, leading to private key extraction over a single invalid message (and a second one for which any message/signature could be taken, e.g. previously known valid one)

v2.x is unaffected as it verifies input to be an actual Uint8Array instance

Such a message can be constructed for any already known message/signature pair, meaning that the attack needs only a single malicious message being signed for a full key extraction

While signing unverified attacker-controlled messages would be problematic itself (and exploitation of this needs such a scenario), signing a single message still should not leak the private key

Also, message validation could have the same bug (out of scope for this report, but could be possible in some situations), which makes this attack more likely when used in a chain

bitcoinjs/tiny-secp256k1#140 is a subtle fix for this

PoC

This code deliberately doesn't provide funnyBuffer and extractTiny for now, could be updated later

import secp256k1 from 'tiny-secp256k1'
import crypto from 'crypto'

const key = crypto.randomBytes(32)

const msg0 = crypto.randomBytes(32)
const sig0 = secp256k1.sign(msg0, key).toString('hex')

const msg1 = funnyBuffer(msg0)
const sig1 = secp256k1.sign(msg1, key).toString('hex')

const restored = extractTiny(msg0, sig0, sig1)
console.log('Guesses:', JSON.stringify(restored, undefined, 2))
const recheck = (k) => secp256k1.sign(msg0, Buffer.from(k, 'hex')).toString('hex') === sig0
console.log('Rechecked:', JSON.stringify(restored.filter(recheck)))

console.log('Actual key', key.toString('hex'))

Output:

Guesses: [
  "8f351953047e6b149e0595547e7d10a8a1edc61bd519b5b2514202a495e434ed",
  "ebc81e1632a1b3255589ba84364949a0a6fd0229444519765570706d394671dd"
]
Rechecked: ["ebc81e1632a1b3255589ba84364949a0a6fd0229444519765570706d394671dd"]
Actual key ebc81e1632a1b3255589ba84364949a0a6fd0229444519765570706d394671dd

Impact

Full private key extraction when signing a single malicious message (that passes JSON.stringify/JSON.parse and can come from network)

References

@junderw junderw published to bitcoinjs/tiny-secp256k1 Jun 29, 2025
Published to the GitHub Advisory Database Jun 30, 2025
Reviewed Jun 30, 2025
Published by the National Vulnerability Database Jul 1, 2025
Last updated Jul 1, 2025

Severity

High

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 v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements Present
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity High
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:P

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.
(55th percentile)

Weaknesses

Insufficiently Protected Credentials

The product transmits or stores authentication credentials, but it uses an insecure method that is susceptible to unauthorized interception and/or retrieval. Learn more on MITRE.

CVE ID

CVE-2024-49364

GHSA ID

GHSA-7mc2-6phr-23xc

Credits

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