CVE-2026-65631 (GCVE-0-2026-65631)

Vulnerability from cvelistv5 – Published: 2026-10-26 19:53 – Updated: 2026-10-26 19:53
VLAI
Title
erlang-jose RSA JWK parsing attempts to factor an attacker-controlled modulus, enabling CPU-exhaustion denial of service
Summary
Inefficient Algorithmic Complexity in erlang-jose allows an unauthenticated remote attacker to cause a CPU-exhaustion denial of service by submitting a crafted RSA JSON Web Key. When an application parses an untrusted JWK through the public jose_jwk:from_binary/1 or jose_jwk:from_map/1 API (or the Elixir wrappers JOSE.JWK.from_binary/1 and JOSE.JWK.from_map/1), an RSA private key that supplies d, e, and n but omits all Chinese Remainder Theorem parameters (p, q, dp, dq, qi) is routed into convert_sfm_to_crt/1, which tries to recover the missing primes by factoring the modulus. The three integers are read straight from the base64url input and are never validated as a real RSA key. When the modulus cannot be split into two factors (for example, when it is itself prime), the search loop convert_sfm_to_crt_find_p/6 performs a modular exponentiation over the attacker-sized modulus on every iteration and never succeeds. A single request of a few hundred bytes forces close to one CPU-second of work before an internal one-second watchdog kills the worker, and a larger modulus raises the cost further. By flooding such requests an attacker can saturate every scheduler and deny service, without credentials, a valid RSA key, or any special configuration. This issue affects jose: from 1.7.7 before 1.11.13.
CWE
  • CWE-407 - Inefficient Algorithmic Complexity
Assigner
EEF CNA under the mitre root
CNA scorecard A 97/100 over 345 records in the last 180 days details
Impacted products
Vendor Product Version CPE status
potatosalad jose Affected: 1.7.7 , < 1.11.13 (semver)
    cpe:2.3:a:potatosalad:jose:*:*:*:*:*:*:*:*
Create a notification for this product.
potatosalad jose Affected: d19e1ba68d88c68d29aa942be2573a22dbafca1f , < bfd336c0062bff93e65d08c22361897e96afd956 (git)
    cpe:2.3:a:potatosalad:jose:*:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

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                "collectionURL": "https://repo.hex.pm",
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        "id": "CVE-2026-65631",
        "lastModified": "2026-10-27T15:00:49.240",
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        "published": "2026-10-26T20:17:58.997",
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            "description": [
              {
                "lang": "en",
                "value": "CWE-407"
              }
            ],
            "source": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
            "type": "Secondary"
          }
        ]
      }
    }
  }
}



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Taxonomy of the tags.


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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
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    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.