CVE intelligence and bounded remediation
CVE-2024-45395 — Sigstore Sigstore-Go security vulnerability
sigstore-go, a Go library for Sigstore signing and verification, is susceptible to a denial of service attack in versions prior to 0.6.1 when a verifier is provided a maliciously crafted Sigstore Bundle containing large amounts of verifiable data, in the form of signed transparency log entries, RFC 3161 timestamps, and attestation subjects. The verification of these data structures is computationally expensive. This can be used to consume excessive CPU resources, leading to a denial of service attack. TUF's security model labels this type of vulnerability an "Endless data attack," and can lead to verification failing to complete and disrupting services that rely on sigstore-go for verification. This vulnerability is addressed with sigstore-go 0.6.1, which adds hard limits to the number of verifiable data structures that can be processed in a bundle. Verification will fail if a bundle has data that exceeds these limits. The limits are 32 signed transparency log entries, 32 RFC 3161 timestamps, 1024 attestation subjects, and 32 digests per attestation subject. These limits are intended to be high enough to accommodate the vast majority of use cases, while preventing the verification…
- Severity
- High
- CVSS
- 7.5 (3.1)
- Published
- 2024-09-04
- CISA KEV
- Not currently listed
- Ecosystem
- software/application
- Weaknesses
- CWE-835
Affected products
- sigstore / sigstore-go
Matched remediation archetype
Resource exhaustion and denial of service
This catalog composition supplies bounded fallback guidance. Explicitly reviewed curated workflows load with the complete record below.
Check exposure
- Identify attacker-influenced work factors including input size, nesting, compression, fan-out, regex cost, allocation, recursion, retries, and connection lifetime.
- Map per-request and shared CPU, memory, disk, descriptor, thread, queue, and downstream-service limits.
- Determine whether authentication, tenancy, quotas, and rate controls apply before expensive processing begins.
Remediate safely
- Bound input size, nesting, expansion, work, concurrency, queue depth, retries, and execution time before resource-intensive processing.
- Release resources on every success, error, cancellation, and timeout path and use backpressure instead of unbounded buffering.
- Update affected components and add small deterministic tests that assert resource ceilings rather than exhausting a host.
Authoritative sources
Complete CVE record and remediation plan
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