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Update npm package next [SECURITY]#8555

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deps/js/npm-next-vulnerability
Mar 23, 2026
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Update npm package next [SECURITY]#8555
hash-worker[bot] merged 2 commits intomainfrom
deps/js/npm-next-vulnerability

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@hash-worker hash-worker bot commented Mar 17, 2026

This PR contains the following updates:

Package Change Age Confidence
next (source) 15.5.10 -> 15.5.13 age confidence
next (source) 15.5.10 -> 15.5.14 age confidence

Warning

Some dependencies could not be looked up. Check the Dependency Dashboard for more information.

GitHub Vulnerability Alerts

CVE-2026-29057

Summary

When Next.js rewrites proxy traffic to an external backend, a crafted DELETE/OPTIONS request using Transfer-Encoding: chunked could trigger request boundary disagreement between the proxy and backend. This could allow request smuggling through rewritten routes.

Impact

An attacker could smuggle a second request to unintended backend routes (for example, internal/admin endpoints), bypassing assumptions that only the configured rewrite destination/path is reachable. This does not impact applications hosted on providers that handle rewrites at the CDN level, such as Vercel.

Patches

The vulnerability originated in an upstream library vendored by Next.js. It is fixed by updating that dependency’s behavior so content-length: 0 is added only when both content-length and transfer-encoding are absent, and transfer-encoding is no longer removed in that code path.

Workarounds

If upgrade is not immediately possible:

  • Block chunked DELETE/OPTIONS requests on rewritten routes at your edge/proxy.
  • Enforce authentication/authorization on backend routes per our security guidance.

CVE-2026-27980

Summary

The default Next.js image optimization disk cache (/_next/image) did not have a configurable upper bound, allowing unbounded cache growth.

Impact

An attacker could generate many unique image-optimization variants and exhaust disk space, causing denial of service. Note that this does not impact platforms that have their own image optimization capabilities, such as Vercel.

Patches

Fixed by adding an LRU-backed disk cache with images.maximumDiskCacheSize, including eviction of least-recently-used entries when the limit is exceeded. Setting maximumDiskCacheSize: 0 disables disk caching.

Workarounds

If upgrade is not immediately possible:

  • Periodically clean .next/cache/images.
  • Reduce variant cardinality (e.g., tighten values for images.localPatterns, images.remotePatterns, and images.qualities)

Release Notes

vercel/next.js (next)

v15.5.13

Compare Source

[!NOTE]
This release is backporting bug fixes. It does not include all pending features/changes on canary.

Core Changes
  • fix: patch http-proxy to prevent request smuggling in rewrites (See: CVE-2026-29057)
Credits

Huge thanks to @​ztanner for helping!

v15.5.12

Compare Source

[!NOTE]
This release is backporting bug fixes. It does not include all pending features/changes on canary.

  • fix unlock in publish-native

This is a re-release of v15.5.11 applying the turbopack changes.

v15.5.11

Compare Source

[!NOTE]
This release is backporting bug fixes. It does not include all pending features/changes on canary.

Core Changes
  • Tracing: Fix memory leak in span map (#​85529)
  • fix: ensure LRU cache items have minimum size of 1 to prevent unbounded growth (#​89134)
  • Turbopack: fix NFT tracing of sharp 0.34 (#​82340)
  • Turbopack: support pattern into exports field (#​82757)
  • NFT tracing fixes (#​84155 and #​85323)
  • Turbopack: validate CSS without computing all paths (#​83810)
  • feat: implement LRU cache with invocation ID scoping for minimal mode response cache (#​89129)
Credits

Huge thanks to @​timneutkens, @​mischnic, @​ztanner, and @​wyattjoh for helping!


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👻 Immortal: This PR will be recreated if closed unmerged. Get config help if that's undesired.


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This PR has been generated by Renovate Bot.

@hash-worker hash-worker bot enabled auto-merge March 17, 2026 19:32
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vercel bot commented Mar 17, 2026

The latest updates on your projects. Learn more about Vercel for GitHub.

Project Deployment Actions Updated (UTC)
hash Ready Ready Preview, Comment Mar 23, 2026 8:04pm
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cursor bot commented Mar 17, 2026

PR Summary

Medium Risk
Upgrades the core frontend framework (next) which can affect build/runtime behavior despite being a patch release. Change is dependency-only but touches security-sensitive request/rewrites and image caching behavior via upstream fixes.

Overview
Updates next from 15.5.10 to 15.5.14 in the frontend app and shared @local/hash-isomorphic-utils package.

Regenerates yarn.lock to pull in the corresponding @next/* (env + platform swc) patch versions.

Written by Cursor Bugbot for commit e555cf7. This will update automatically on new commits. Configure here.

@github-actions github-actions bot added area/deps Relates to third-party dependencies (area) area/apps > hash* Affects HASH (a `hash-*` app) area/libs Relates to first-party libraries/crates/packages (area) type/eng > frontend Owned by the @frontend team type/eng > backend Owned by the @backend team area/apps labels Mar 17, 2026
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augmentcode bot commented Mar 17, 2026

🤖 Augment PR Summary

Summary: Updates the repo’s Next.js dependency versions to address recent security advisories in Next.js.

Changes:

  • Bumped next in apps/hash-frontend from 15.5.10 to 16.1.7 (major version upgrade).
  • Bumped next in libs/@local/hash-isomorphic-utils (devDependency) from 15.5.10 to 15.5.13.
  • Updated lockfile resolution accordingly (via yarn.lock changes).

Technical Notes: The targeted Next.js versions include fixes for CVE-2026-27980 (bounded image optimizer disk cache via images.maximumDiskCacheSize) and CVE-2026-29057 (request-smuggling fix in rewrite proxy behavior).

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Review completed. 3 suggestions posted.

Fix All in Augment

Comment augment review to trigger a new review at any time.

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Cursor Bugbot has reviewed your changes and found 3 potential issues.

Fix All in Cursor

Bugbot Autofix is OFF. To automatically fix reported issues with cloud agents, enable autofix in the Cursor dashboard.

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codecov bot commented Mar 17, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 62.60%. Comparing base (c7d3aa5) to head (e555cf7).
⚠️ Report is 4 commits behind head on main.

Additional details and impacted files
@@           Coverage Diff           @@
##             main    #8555   +/-   ##
=======================================
  Coverage   62.60%   62.60%           
=======================================
  Files        1317     1317           
  Lines      133975   133975           
  Branches     5517     5517           
=======================================
  Hits        83877    83877           
  Misses      49183    49183           
  Partials      915      915           
Flag Coverage Δ
apps.hash-ai-worker-ts 1.40% <ø> (ø)
apps.hash-api 0.00% <ø> (ø)
local.hash-isomorphic-utils 0.00% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

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codspeed-hq bot commented Mar 17, 2026

Merging this PR will not alter performance

✅ 80 untouched benchmarks


Comparing deps/js/npm-next-vulnerability (cb62559) with main (9cf2392)1

Open in CodSpeed

Footnotes

  1. No successful run was found on main (feb318b) during the generation of this report, so 9cf2392 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report.

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Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 2002 $$28.3 \mathrm{ms} \pm 239 \mathrm{μs}\left({\color{gray}1.33 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$3.62 \mathrm{ms} \pm 29.7 \mathrm{μs}\left({\color{gray}3.02 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 1001 $$13.6 \mathrm{ms} \pm 116 \mathrm{μs}\left({\color{red}7.96 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 3314 $$44.8 \mathrm{ms} \pm 395 \mathrm{μs}\left({\color{gray}2.67 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$16.1 \mathrm{ms} \pm 108 \mathrm{μs}\left({\color{red}7.77 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 1526 $$25.8 \mathrm{ms} \pm 236 \mathrm{μs}\left({\color{gray}4.11 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 2078 $$29.5 \mathrm{ms} \pm 216 \mathrm{μs}\left({\color{gray}2.10 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$3.88 \mathrm{ms} \pm 21.8 \mathrm{μs}\left({\color{gray}0.985 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 1033 $$14.8 \mathrm{ms} \pm 108 \mathrm{μs}\left({\color{red}8.82 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_medium

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 102 $$3.91 \mathrm{ms} \pm 20.5 \mathrm{μs}\left({\color{gray}0.033 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$3.08 \mathrm{ms} \pm 13.2 \mathrm{μs}\left({\color{gray}-0.986 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 51 $$3.47 \mathrm{ms} \pm 17.6 \mathrm{μs}\left({\color{gray}-0.148 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 269 $$5.31 \mathrm{ms} \pm 30.3 \mathrm{μs}\left({\color{gray}-0.624 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$3.69 \mathrm{ms} \pm 17.1 \mathrm{μs}\left({\color{gray}-0.222 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 107 $$4.30 \mathrm{ms} \pm 31.4 \mathrm{μs}\left({\color{gray}0.498 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 133 $$4.60 \mathrm{ms} \pm 24.4 \mathrm{μs}\left({\color{gray}-0.618 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$3.58 \mathrm{ms} \pm 22.9 \mathrm{μs}\left({\color{gray}0.969 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 63 $$4.20 \mathrm{ms} \pm 26.2 \mathrm{μs}\left({\color{gray}-0.366 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_none

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 2 $$2.84 \mathrm{ms} \pm 13.6 \mathrm{μs}\left({\color{gray}-0.431 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.78 \mathrm{ms} \pm 17.3 \mathrm{μs}\left({\color{gray}-0.327 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 1 $$2.90 \mathrm{ms} \pm 13.1 \mathrm{μs}\left({\color{gray}-0.187 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 8 $$3.16 \mathrm{ms} \pm 14.8 \mathrm{μs}\left({\color{gray}-1.023 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$2.95 \mathrm{ms} \pm 11.0 \mathrm{μs}\left({\color{gray}-1.273 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 3 $$3.26 \mathrm{ms} \pm 14.1 \mathrm{μs}\left({\color{gray}-0.199 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_small

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 52 $$3.19 \mathrm{ms} \pm 18.9 \mathrm{μs}\left({\color{gray}-0.586 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.91 \mathrm{ms} \pm 14.9 \mathrm{μs}\left({\color{gray}-0.603 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 25 $$3.08 \mathrm{ms} \pm 19.9 \mathrm{μs}\left({\color{gray}-0.344 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 94 $$3.65 \mathrm{ms} \pm 19.9 \mathrm{μs}\left({\color{gray}-0.754 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$3.17 \mathrm{ms} \pm 16.5 \mathrm{μs}\left({\color{gray}-1.408 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 26 $$3.41 \mathrm{ms} \pm 16.3 \mathrm{μs}\left({\color{gray}-1.547 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 66 $$3.54 \mathrm{ms} \pm 13.1 \mathrm{μs}\left({\color{gray}-1.357 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$3.15 \mathrm{ms} \pm 18.3 \mathrm{μs}\left({\color{gray}-1.460 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 29 $$3.45 \mathrm{ms} \pm 15.0 \mathrm{μs}\left({\color{gray}-0.570 \mathrm{\%}}\right) $$ Flame Graph

read_scaling_complete

Function Value Mean Flame graphs
entity_by_id;one_depth 1 entities $$47.3 \mathrm{ms} \pm 235 \mathrm{μs}\left({\color{gray}2.80 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 10 entities $$84.5 \mathrm{ms} \pm 337 \mathrm{μs}\left({\color{gray}1.43 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 25 entities $$51.8 \mathrm{ms} \pm 301 \mathrm{μs}\left({\color{gray}0.276 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 5 entities $$56.1 \mathrm{ms} \pm 511 \mathrm{μs}\left({\color{red}5.56 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 50 entities $$64.4 \mathrm{ms} \pm 416 \mathrm{μs}\left({\color{gray}4.05 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 1 entities $$47.8 \mathrm{ms} \pm 249 \mathrm{μs}\left({\color{gray}1.68 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 10 entities $$426 \mathrm{ms} \pm 919 \mathrm{μs}\left({\color{gray}0.715 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 25 entities $$104 \mathrm{ms} \pm 556 \mathrm{μs}\left({\color{gray}2.55 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 5 entities $$92.8 \mathrm{ms} \pm 383 \mathrm{μs}\left({\color{gray}0.812 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 50 entities $$326 \mathrm{ms} \pm 696 \mathrm{μs}\left({\color{red}12.0 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 1 entities $$20.5 \mathrm{ms} \pm 140 \mathrm{μs}\left({\color{gray}3.23 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 10 entities $$20.9 \mathrm{ms} \pm 124 \mathrm{μs}\left({\color{gray}1.03 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 25 entities $$20.8 \mathrm{ms} \pm 127 \mathrm{μs}\left({\color{gray}1.32 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 5 entities $$20.8 \mathrm{ms} \pm 115 \mathrm{μs}\left({\color{gray}3.50 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 50 entities $$25.1 \mathrm{ms} \pm 178 \mathrm{μs}\left({\color{gray}1.77 \mathrm{\%}}\right) $$ Flame Graph

read_scaling_linkless

Function Value Mean Flame graphs
entity_by_id 1 entities $$20.3 \mathrm{ms} \pm 96.0 \mathrm{μs}\left({\color{gray}3.36 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 10 entities $$20.4 \mathrm{ms} \pm 126 \mathrm{μs}\left({\color{gray}2.95 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 100 entities $$20.3 \mathrm{ms} \pm 103 \mathrm{μs}\left({\color{gray}2.04 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 1000 entities $$20.8 \mathrm{ms} \pm 114 \mathrm{μs}\left({\color{gray}2.37 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 10000 entities $$27.1 \mathrm{ms} \pm 169 \mathrm{μs}\left({\color{gray}-0.662 \mathrm{\%}}\right) $$ Flame Graph

representative_read_entity

Function Value Mean Flame graphs
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/block/v/1 $$36.0 \mathrm{ms} \pm 363 \mathrm{μs}\left({\color{gray}1.21 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1 $$35.3 \mathrm{ms} \pm 291 \mathrm{μs}\left({\color{gray}0.502 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1 $$34.5 \mathrm{ms} \pm 305 \mathrm{μs}\left({\color{gray}-0.977 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1 $$37.4 \mathrm{ms} \pm 284 \mathrm{μs}\left({\color{gray}3.89 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2 $$34.4 \mathrm{ms} \pm 318 \mathrm{μs}\left({\color{gray}-0.312 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1 $$35.5 \mathrm{ms} \pm 370 \mathrm{μs}\left({\color{gray}3.06 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1 $$36.6 \mathrm{ms} \pm 278 \mathrm{μs}\left({\color{red}5.40 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1 $$36.9 \mathrm{ms} \pm 242 \mathrm{μs}\left({\color{red}6.57 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1 $$36.2 \mathrm{ms} \pm 264 \mathrm{μs}\left({\color{gray}1.68 \mathrm{\%}}\right) $$ Flame Graph

representative_read_entity_type

Function Value Mean Flame graphs
get_entity_type_by_id Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba $$8.84 \mathrm{ms} \pm 44.3 \mathrm{μs}\left({\color{gray}1.86 \mathrm{\%}}\right) $$ Flame Graph

representative_read_multiple_entities

Function Value Mean Flame graphs
entity_by_property traversal_paths=0 0 $$97.1 \mathrm{ms} \pm 432 \mathrm{μs}\left({\color{gray}4.10 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=255 1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true $$150 \mathrm{ms} \pm 607 \mathrm{μs}\left({\color{gray}3.84 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false $$105 \mathrm{ms} \pm 575 \mathrm{μs}\left({\color{gray}4.59 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true $$114 \mathrm{ms} \pm 764 \mathrm{μs}\left({\color{gray}4.86 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true $$122 \mathrm{ms} \pm 631 \mathrm{μs}\left({\color{gray}4.57 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true $$129 \mathrm{ms} \pm 530 \mathrm{μs}\left({\color{gray}3.35 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=0 0 $$105 \mathrm{ms} \pm 544 \mathrm{μs}\left({\color{gray}3.48 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=255 1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true $$130 \mathrm{ms} \pm 442 \mathrm{μs}\left({\color{gray}0.582 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false $$111 \mathrm{ms} \pm 491 \mathrm{μs}\left({\color{gray}2.28 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true $$122 \mathrm{ms} \pm 539 \mathrm{μs}\left({\color{gray}3.98 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true $$119 \mathrm{ms} \pm 486 \mathrm{μs}\left({\color{gray}-0.044 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true $$120 \mathrm{ms} \pm 543 \mathrm{μs}\left({\color{gray}1.19 \mathrm{\%}}\right) $$

scenarios

Function Value Mean Flame graphs
full_test query-limited $$138 \mathrm{ms} \pm 569 \mathrm{μs}\left({\color{gray}4.11 \mathrm{\%}}\right) $$ Flame Graph
full_test query-unlimited $$149 \mathrm{ms} \pm 546 \mathrm{μs}\left({\color{gray}2.16 \mathrm{\%}}\right) $$ Flame Graph
linked_queries query-limited $$105 \mathrm{ms} \pm 550 \mathrm{μs}\left({\color{red}162 \mathrm{\%}}\right) $$ Flame Graph
linked_queries query-unlimited $$569 \mathrm{ms} \pm 2.65 \mathrm{ms}\left({\color{gray}4.14 \mathrm{\%}}\right) $$ Flame Graph

@hash-worker hash-worker bot force-pushed the deps/js/npm-next-vulnerability branch from cb62559 to ce302fa Compare March 19, 2026 18:56
@vercel vercel bot temporarily deployed to Preview – petrinaut March 19, 2026 18:57 Inactive
@hash-worker hash-worker bot changed the title Update npm package next [SECURITY] Update npm package next to v15.5.13 [SECURITY] Mar 19, 2026
@graphite-app graphite-app bot requested review from a team March 19, 2026 19:19
@hash-worker hash-worker bot force-pushed the deps/js/npm-next-vulnerability branch from ce302fa to b962b21 Compare March 23, 2026 09:56
@vercel vercel bot temporarily deployed to Preview – petrinaut March 23, 2026 09:56 Inactive
@hash-worker hash-worker bot changed the title Update npm package next to v15.5.13 [SECURITY] Update npm package next [SECURITY] Mar 23, 2026
lunelson
lunelson previously approved these changes Mar 23, 2026
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next versions should probably be on the exact same patch versions... although one here is only as a devDep so the security issue isn't even an active one

@vercel vercel bot temporarily deployed to Preview – petrinaut March 23, 2026 19:50 Inactive
@github-actions github-actions bot dismissed lunelson’s stale review March 23, 2026 19:50

Your organization requires reapproval when changes are made, so Graphite has dismissed approvals. See the output of git range-diff at https://github.com/hashintel/hash/actions/runs/23456986680

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hash-worker bot commented Mar 23, 2026

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Merged via the queue into main with commit 8df3d38 Mar 23, 2026
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@hash-worker hash-worker bot deleted the deps/js/npm-next-vulnerability branch March 23, 2026 20:36
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Labels

area/apps > hash* Affects HASH (a `hash-*` app) area/apps area/deps Relates to third-party dependencies (area) area/libs Relates to first-party libraries/crates/packages (area) type/eng > backend Owned by the @backend team type/eng > frontend Owned by the @frontend team

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