CVE-2026-55250
Maravel, a PHP framework oriented towards dependency injection, prior to version 10.74.0 has a high-severity Token Replay Vulnerability arising from a structural lifecycle mismatch between stateless token validation engines and high-performance relational caching layers. Any application with low cache memory that causes premature eviction to free up memory and applications running macropay-solutions/maravel-framework that utilize tymon/jwt-auth for API token authentication and blacklist management or any other package that does the same may be affected. This architectural risk might also impact native Laravel applications utilizing cache tags under specific volatile or eviction-capped environments. tymon/jwt-auth automatically probes for cache tag support. If found, it forcefully wraps 14-day token blacklist entries (jti) inside a relational tymon.jwt tag. In environments where the O(1) Atomic Lazy Eviction model is active — either natively inside Maravel-Framework v20.x or manually backported into v10.x via the explicit DI container singletons provided in PR #104 (App\Cache\TaggedCache and App\Cache\TagSet) — a strict global tracking ceiling (Container::TAGGED_CACHE_TTL_CAP_SECONDS) of 7,200 seconds (2 hours) is enforced to secure the system against memory index bloat. This ceiling forcefully truncates the 14-day blacklist lifespan down to a maximum of 2 hours, after which individual tracking keys naturally expire and disappear from the active cache window. Furthermore, because the optimized engine implements a generational version matrix to achieve O(1) flush speeds, any programmatic or manual invocation of a tag flush or reset (e.g., Cache::tags([...])->flush()) instantly bumps the internal atomic master version pointer. This shifts the computed cryptographic composite hash (sha1($this->tags->getNamespace())) for all overlapping components, rendering the entire existing index immediately unreachable. Consequently, through either natural 2-hour expiration or an in
What this means for your business
- FIRST's prediction model gives it a 0.6% chance of attack attempts being seen in the next 30 days, ranking above 44% of all known flaws.
What to do
- 1Ask your IT team or provider whether any of your systems use the affected product.
- 2If you do, follow the vendor's guidance. No patch reference has been published yet.
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Scoring
- CVSS
- Not yet scored
- CVSS v4
- 8.7
- Weakness
- CWE-294
- Assigned by
- security-advisories@github.com
Dates
- Published
- 2026-09-08
- Last modified
- 2026-09-10
- Sources
- NVD