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h3 has an observable timing discrepancy in basic auth utils

Moderate severity GitHub Reviewed Published Mar 17, 2026 in h3js/h3 • Updated Mar 20, 2026

Package

npm h3 (npm)

Affected versions

>= 2.0.0-beta.0, <= 2.0.0-rc.8

Patched versions

2.0.1-rc.9

Description

Summary

A Timing Side-Channel vulnerability exists in the requireBasicAuth function due to the use of unsafe string comparison (!==). This allows an attacker to deduce the valid password character-by-character by measuring the server's response time, effectively bypassing password complexity protections.

Details

The vulnerability is located in the requireBasicAuth function. The code performs a standard string comparison between the user-provided password and the expected password:

if (opts.password && password !== opts.password) {
  throw autheFailed(event, opts?.realm);
}

In V8 (and most runtime environments), the !== operator is optimized to "fail fast." It stops execution and returns false as soon as it encounters the first mismatched byte.

  • If the first character is wrong, it returns immediately.
  • If the first character is correct but the second is wrong, it takes slightly longer.

By statistically analyzing these minute timing differences over many requests, an attacker can determine the correct password one character at a time.

PoC

This vulnerability is exploitable in real-world scenarios without direct access to the server machine.

To reproduce this, an attacker can send two packets (or bursts of packets) at the exact same time:

  1. Packet A: Contains a password that is known to be incorrect starting at the first character (e.g., AAAA...).
  2. Packet B: Contains a password where the first character is a guess (e.g., B...).

By measuring the time-to-first-byte (TTFB) or total response time of these concurrent requests, the attacker can filter out network jitter. If Packet B takes consistently longer to return than Packet A, the first character is confirmed as correct. This process is repeated for the second character, and so on. Tests confirm this timing difference is statistically consistent enough to recover credentials remotely.

Impact

This vulnerability allows remote attackers to recover passwords. While network jitter makes this difficult over the internet, it is highly effective in local networks or cloud environments where the attacker is co-located. It reduces the complexity of cracking a password from exponential (guessing the whole string) to linear (guessing one char at a time).

References

@pi0 pi0 published to h3js/h3 Mar 17, 2026
Published to the GitHub Advisory Database Mar 18, 2026
Reviewed Mar 18, 2026
Published by the National Vulnerability Database Mar 20, 2026
Last updated Mar 20, 2026

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
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
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:N/UI:N/S:U/C:H/I:N/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.
(10th percentile)

Weaknesses

Observable Timing Discrepancy

Two separate operations in a product require different amounts of time to complete, in a way that is observable to an actor and reveals security-relevant information about the state of the product, such as whether a particular operation was successful or not. Learn more on MITRE.

CVE ID

CVE-2026-33129

GHSA ID

GHSA-26f5-8h2x-34xh

Source code

Credits

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