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CVE-2026-90562 (GCVE-0-2026-90562)

Vulnerability from cvelistv5 – Published: 2026-09-13 10:45 – Updated: 2026-09-13 10:45
VLAI
Title
LangBot before 4.10.11 Authentication Bypass via Weak Recovery Key
Summary
LangBot before 4.10.11 generates password recovery keys with only 24 bits of entropy and applies no rate limiting to the unauthenticated reset-password endpoint. Remote attackers knowing the administrator email can exhaust the keyspace through concurrent requests to reset the admin password and gain account access.
CWE
Impacted products
Vendor Product Version CPE status
langbot-app LangBot Affected: 4.0.8.1 , < 4.10.11 (custom)
    cpe:2.3:a:langbot:langbot:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-08-04 00:00
Show details on NVD website

{
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          "packageURL": "pkg:pypi/langbot",
          "product": "LangBot",
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              "status": "affected",
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            }
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      "datePublic": "2026-08-04T00:00:00.000Z",
      "descriptions": [
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          "lang": "en",
          "value": "LangBot before 4.10.11 generates password recovery keys with only 24 bits of entropy and applies no rate limiting to the unauthenticated reset-password endpoint. Remote attackers knowing the administrator email can exhaust the keyspace through concurrent requests to reset the admin password and gain account access."
        }
      ],
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        "orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
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          "name": "GitHub Issue #2392",
          "tags": [
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          "url": "https://github.com/langbot-app/LangBot/issues/2392"
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          "url": "https://github.com/langbot-app/LangBot/commit/267232c24f93c515d6fd3f7f81c0676066ab1ab8"
        },
        {
          "name": "VulnCheck Advisory: LangBot before 4.10.11 Authentication Bypass via Weak Recovery Key",
          "tags": [
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          "url": "https://www.vulncheck.com/advisories/langbot-before-4.10.11-authentication-bypass-via-weak-recovery-key"
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  "cveMetadata": {
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    "assignerShortName": "VulnCheck",
    "cveId": "CVE-2026-90562",
    "datePublished": "2026-09-13T10:45:36.684Z",
    "dateReserved": "2026-09-12T11:13:43.327Z",
    "dateUpdated": "2026-09-13T10:45:36.684Z",
    "state": "PUBLISHED"
  },
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  "dataVersion": "5.2",
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  }
}



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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.

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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