CVE-2026-43967 (GCVE-0-2026-43967)
Vulnerability from cvelistv5 – Published: 2026-05-08 15:42 – Updated: 2026-05-09 04:18
VLAI
Title
Quadratic fragment-name uniqueness check causes denial of service in absinthe
Summary
Inefficient Algorithmic Complexity vulnerability in absinthe-graphql absinthe allows unauthenticated denial of service via quadratic fragment-name uniqueness validation.
'Elixir.Absinthe.Phase.Document.Validation.UniqueFragmentNames':run/2 iterates over all fragments and for each one calls duplicate?/2, which evaluates Enum.count(fragments, &(&1.name == name)) — a full linear scan of the fragment list. The result is O(N²) comparisons per document, where N is the number of fragment definitions supplied by the caller.
Because input.fragments is built directly from the GraphQL query body, N is fully attacker-controlled. A minimum-size fragment definition is roughly 16 bytes, so a ~1 MB document carries ~60,000 fragments and forces ~3.6 × 10⁹ comparisons inside this single validation phase. No authentication, schema knowledge, or special configuration is required.
This issue affects absinthe: from 1.2.0 before 1.10.2.
Severity
CWE
- CWE-407 - Inefficient Algorithmic Complexity
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/absinthe-graphql/absinthe/secu… | vendor-advisoryrelated |
| https://cna.erlef.org/cves/CVE-2026-43967.html | related |
| https://osv.dev/vulnerability/EEF-CVE-2026-43967 | related |
| https://github.com/absinthe-graphql/absinthe/comm… | patch |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| absinthe-graphql | absinthe |
Affected:
1.2.0 , < 1.10.2
(semver)
cpe:2.3:a:absinthe-graphql:absinthe:*:*:*:*:*:*:*:* |
|
| absinthe-graphql | absinthe |
Affected:
0b46e3bcc06c0d3797bacd64761b908a84646c1d , < 223600c520493dcaf95080af552c413099f92c9d
(git)
cpe:2.3:a:absinthe-graphql:absinthe:*:*:*:*:*:*:*:* |
Credits
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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