sriram veeraghanta b1c78fe4c8 fix(api): rate-limit magic-code verify, bound per-token attempts (GHSA-9pvm-fcf6-9234) (#9130)
* fix(api): rate-limit magic-code verification and bound per-token attempts

The magic-link sign-in / sign-up endpoints accept a 6-digit numeric code
(900k-value space, 600s TTL) but never increment a failure counter on a
wrong-code verify and extend django.views.View rather than DRF APIView,
so DRF's AuthenticationThrottle never runs against them. The space-side
generate endpoint also lacked throttle_classes. Combined, this allowed
an unauthenticated attacker who knew a victim's email to brute-force
the code within the TTL window and log in as the victim.

- Add MAX_VERIFY_ATTEMPTS=5 in MagicCodeProvider.set_user_data: failed
  comparisons now persist verify_attempts in Redis under the remaining
  TTL and, on hitting the limit, delete the key and raise
  EMAIL_CODE_ATTEMPT_EXHAUSTED. This is the load-bearing fix - it caps
  total attempts per issued token regardless of request rate.
- Add authentication_throttle_allows() so plain Django Views can apply
  AuthenticationThrottle without converting to APIView (would change
  CSRF + request-parsing semantics for the redirect-flow endpoints).
- Apply the throttle to MagicSignIn/UpEndpoint and the space variants;
  add throttle_classes to MagicGenerateSpaceEndpoint to match its app
  sibling.

Refs GHSA-9pvm-fcf6-9234.

* fix(api): make verify-attempt increment atomic, expose throttle rate via env

Address PR review feedback:

- Replace the JSON read-modify-write of verify_attempts with a Lua
  EVAL script that INCRs a dedicated counter key and EXPIREs it only
  on the first increment. The previous round-trip was racy: parallel
  wrong-code requests could read the same value and both write the
  same incremented count, letting an attacker exceed MAX_VERIFY_ATTEMPTS
  under concurrency. Counter is now reset on each new token issuance
  and cleared on successful verify / exhaustion.
- Make AuthenticationThrottle.rate configurable via the
  AUTHENTICATION_RATE_LIMIT env var (default 10/minute, down from 30
  to tighten the budget on unauth auth-adjacent endpoints). Document
  it in deployments/aio and deployments/cli variables.env.

* test(api): cover magic-code attempt cap, counter reset, and auth throttle

Add the contract tests called out in the PR test plan:

- TestMagicSignInVerifyAttempts:
  - test_exhausted_after_max_wrong_attempts: after MAX_VERIFY_ATTEMPTS
    wrong codes the next verify redirects with EMAIL_CODE_ATTEMPT_
    EXHAUSTED_SIGN_IN and both Redis keys are deleted; a follow-up
    verify reports EXPIRED.
  - test_counter_increments_on_each_wrong_attempt: the dedicated
    verify_attempts counter advances by exactly one per wrong POST,
    matching the atomic Lua INCR.
  - test_counter_resets_on_token_regeneration: regenerating the
    magic-link clears the counter so the user isn't pre-locked-out by
    a prior session's wrong attempts.
- TestMagicSignUpVerifyAttempts.test_signup_exhausted_after_max_wrong_attempts:
  the sign-up endpoint returns EMAIL_CODE_ATTEMPT_EXHAUSTED_SIGN_UP on
  the exhausting attempt.
- TestAuthenticationThrottle: exercises authentication_throttle_allows
  on the plain-View redirect-flow endpoints by patching the rate down
  and asserting RATE_LIMIT_EXCEEDED is appended to the redirect URL
  once the per-IP budget is exceeded, for both magic-sign-in and
  magic-sign-up.

Each new class clears Django cache (DRF throttle storage) and the
per-email Redis keys around every test so runs are independent.

* fix(api): clamp remaining_ttl to >=1 for verify-attempt counter EXPIRE

ri.ttl() returns 0 when the token has less than one second remaining
(Redis floors to whole seconds). The previous clamp only caught
None and < 0, so a sub-second TTL would pass through and the Lua
script's EXPIRE counter 0 would immediately delete the key — letting
an attacker bypass MAX_VERIFY_ATTEMPTS during the final second of the
token's life. Switch the comparison to <= 0.

Narrow real-world impact (sub-second window, throttle still bounds
the rate) but the cap should hold regardless of timing.
2026-06-01 18:44:57 +05:30
2025-12-05 16:03:51 +05:30
2025-12-05 16:03:51 +05:30
2026-01-27 13:54:22 +05:30
2023-06-19 18:47:39 +05:30
2024-10-03 14:09:01 +05:30



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