GHSA-r77w-qph3-7vf8: High severity pip/graphql-core vulnerability

Published Oct 22, 2026
·
Updated

Summary

The parser's maxtokens limit — the documented defence against oversized GraphQL documents — did not count comment tokens. A document padded with comments could therefore pass a maxtokens check of any size while still allocating one Token object per comment, all of which stay reachable for the lifetime of the parsed document. A 38 MB comment-padded payload allocated roughly 92 MB of additional resident memory with maxtokens=5 in force.

Details

Lexer.lookahead() reads tokens one at a time and skips over comments, returning only the first non-comment token. Each skipped comment is nevertheless fully tokenized, allocated as a Token object, and linked into the persistent token list via token.next / token.prev — the chain that powers source-location reporting, and which is retained as long as the document is.

Parser.advancelexer() incremented the token counter only for the tokens the lexer actually returned. Comments were therefore invisible to the accounting, and maxtokens bounded only the non-comment tokens.

The practical consequence is a gap between what users reasonably believe maxtokens protects and what it did protect. The limit was not broken for ordinary documents — real tokens were still capped correctly — so the shortfall was not observable without specifically testing comment padding.

As with the companion issue, the payload compresses extremely well (# c\n repeated), so body-size limits and WAF inspection applied to the compressed request do not see its true size, while the framework decompresses it in memory before the parser is reached.

Proof of concept

python import gc import resource from graphql import parse

100,000 comments, a 5-token query, and maxtokens=5 — accepted. query = "# c\n" 100000 + "{ a }" parse(query, maxtokens=5) # no error raised

Memory amplification. big = "# padding comment used to amplify memory per token\n" 500000 + "{ a }" gc.collect() before = resource.getrusage(resource.RUSAGESELF).rumaxrss parse(big, maxtokens=5) # ~38 MB source after = resource.getrusage(resource.RUSAGESELF).rumaxrss print(f"RSS delta: +{(after - before) / 1024:.0f} MB")

Measured on GraphQL-core 3.2.8 / CPython 3.12 / Linux x8664: the 391 KB payload parsed in 127 ms, and the 38.1 MB payload produced an RSS delta of +92 MB — about 2.4× the source size, on top of the source string itself.

Impact

Denial of service through memory exhaustion. A modest number of concurrent requests can push a worker past a typical 256 MB or 512 MB container limit and trigger an OOM kill. No authentication is required, and no data is disclosed or modified.

Depth limiters and complexity analyzers do not help: they run on the AST after parsing has already succeeded, and the document contains only five real tokens.

Patches

Fixed in 3.2.12 and 3.3.0rc1.

Parser.advancelexer now counts every token consumed, including the comment tokens the lexer skips between the previously focused token and the new one, and including the advance onto EOF so that trailing comments are covered. maxtokens therefore now bounds every Token the parser allocates.

Note the behaviour change: comments now count toward maxtokens. A comment-heavy document that was previously accepted may now be rejected. If you parse documents containing substantial comments — SDL files with documentation comments, for instance — and you set maxtokens, you may need to raise the limit. The tokencount attribute of a parsed document likewise now includes comments.

Workarounds

If you cannot upgrade, apply a request body-size limit to the decompressed body before the document reaches parse().

Such a limit is worth keeping after upgrading as well: maxtokens is one guard among several and bounds the token count, not the overall cost of a request.

References

- GraphQL specification § 2.1.4 — Comments

Credits

Reported by @BZHunt, who also reviewed the fixes before release. In memory of ZaX, who was the driving force behind this discovery.

Affected Software

2 affected componentsFixes available
pip/graphql-core>=3.3.0a3<3.3.0rc1
3.3.0rc1
pip/graphql-core>=3.2.3<3.2.12
3.2.12

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Upgrade

    Upgrade pip/graphql-core to a version that resolves this vulnerability.

    Fixed in 3.3.0rc1
  2. Upgrade

    Upgrade pip/graphql-core to a version that resolves this vulnerability.

    Fixed in 3.2.12
  3. Upgrade

    Upgrade graphql-core to a version that resolves this vulnerability.

    Fixed in 3.2.12
  4. Upgrade

    Upgrade graphql-core to a version that resolves this vulnerability.

    Fixed in 3.3.0rc1
  5. Compensating control

    If upgrading is not possible, enforce a request body-size limit on the decompressed request body, before the document reaches parse().

Event History

Oct 22, 2026
Advisory Published
via GitHub·04:27 PM
Data Sourced
via GitHub·04:27 PM
DescriptionSeverityWeaknessAffected Software

Frequently Asked Questions

1

Which deployments are exposed to this issue?

Deployments that parse GraphQL documents from untrusted sources and rely on graphql-core's max_tokens setting to constrain document size are exposed. Comment-heavy documents can consume substantial memory even when a very small max_tokens value is configured.

2

What does an attacker need to do to trigger the problem?

An attacker needs only to submit a GraphQL document padded with comments. No privileges or user interaction are required, and the comments are excluded from max_tokens accounting while still creating retained Token objects.

3

What is the practical impact of exploitation?

The primary impact is memory exhaustion and denial of service. The advisory reports that a 38 MB comment-padded payload caused roughly 92 MB of additional resident-memory allocation despite max_tokens=5.

Contact

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