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GO-2022-0531 BIT-golang-2022-30629 CVE-2022-30629

Session tickets lack random ticket_age_add in crypto/tls

Low Go
Severity
3.1 / 10
Low · CVSS 3.1
Exploit chance (EPSS)
1.21%
Chance of exploitation in the next 30 days. Higher than 68.45% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-330 Use of Insufficiently Random Values
Fix
1.18.3
Upgrade stdlib to this version or later

Description

An attacker can correlate a resumed TLS session with a previous connection.

Session tickets generated by crypto/tls do not contain a randomly generated ticket_age_add, which allows an attacker that can observe TLS handshakes to correlate successive connections by comparing ticket ages during session resumption.

Affected versions

Go

PackageVulnerableFixed in
stdlib
< 1.17.11
>= 1.18.0-0, < 1.18.3
1.17.11
1.18.3

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

stdlib Go → 1.18.3

go
go get stdlib@v1.18.3 && go mod tidy

Severity breakdown

CVSS 3.1 3.1

CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:N/A:N

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

Weakness

CWE-330: Use of Insufficiently Random Values

The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers.

How to prevent it
  • Architecture and Design: Use a well-vetted algorithm that is currently considered to be strong by experts in the field, and select well-tested implementations with adequate length seeds. In general, if a pseudo-random number generator is not advertised as being cryptographically secure, then it is probably a statistical PRNG and should not be used in security-sensitive contexts. Pseudo-random number generators can produce predictable numbers if the generator is known and the seed can be guessed. A 256-bit seed is a good starting point for producing a "random enough" number.
  • Implementation: Consider a PRNG that re-seeds itself as needed from high quality pseudo-random output sources, such as hardware devices.
  • Architecture and Design, Requirements: Use products or modules that conform to FIPS 140-2 [REF-267] to avoid obvious entropy problems. Consult FIPS 140-2 Annex C ("Approved Random Number Generators").

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-4374-p667-p6c8
HTTP/2 rapid reset can cause excessive work in net/http
High Known exploited Also affects stdlib
CVE-2020-0601
Certificate validation bypass on Windows in crypto/x509
High Known exploited Also affects stdlib
RUSTSEC-2026-0382
Distrust compromised intermediate certificates in crypto/x509
Medium Also affects stdlib
GO-2026-6613
HTTP/1 server connection desynchronization after 2xx CONNECT response in net/http
High Also affects stdlib
GO-2026-6609
Lack of limit on size of parsed Range headers in net/http
High Also affects stdlib
GO-2026-6608
Memory limit bypass when parsing MIME headers in net/textproto, mime/multipart
High Also affects stdlib
GO-2026-6607
Reject malformed ECH outer extension references in crypto/tls
High Also affects stdlib
GO-2026-6604
Root.Mkdir(All) can follow junctions out of the root on Windows in os
Critical Also affects stdlib

Credits: Github user @nervuri

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