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CWE-259Weakness · CWE-259

CVE-2026-7579

HIGH · 7.3 CVSS v3.1 Published 2026-05-01
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
82/100
Remediation priority · High
Remotely reachable No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
A security vulnerability has been detected in AstrBotDevs AstrBot up to 4.16.0. This issue affects some unknown processing of the file astrbot/dashboard/routes/auth.py of the component Dashboard. The manipulation leads to hard-coded credentials. It is possible to initiate the attack remotely. The exploit has been disclosed publicly and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · moderate confidence

Hard-coded credentials vulnerability in AstrBot's Dashboard authentication module (astrbot/dashboard/routes/auth.py). The authentication code contains static credentials embedded in the source code, allowing remote attackers to bypass authentication and gain unauthorized access to the dashboard. This is a critical security flaw as the credentials are discoverable through code review or binary analysis.

MitigationReplace all hard-coded credentials with secure, dynamic authentication mechanisms such as environment variables, a secrets management service, or hashed passwords with proper salting. Immediately restrict network access to the dashboard until the fix is deployed.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
Low

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify AstrBot installation and version
    Locate the AstrBot installation directory and determine the installed version by checking version files, git tags, or package metadata (e.g., pyproject.toml, setup.py)
    Affected if The installed version contains the vulnerable code with hard-coded credentials (no specific version range provided, assume all versions until verified fixed)
  2. Inspect the auth.py file for hard-coded credentials
    Examine the file astrbot/dashboard/routes/auth.py and search for static string literals representing usernames and passwords (look for patterns like username='...', password='...', or string constants containing credential-like values)
    Affected if Hard-coded username/password pairs or static credential strings are found directly embedded in the source code
  3. Search the codebase for credential patterns
    Use grep or similar tools to search for hard-coded strings that resemble credentials (e.g., 'admin', 'password', 'secret', API keys) within the dashboard authentication module and related files
    Affected if Static credential strings or default passwords are found anywhere in the authentication-related source files
  4. Verify dashboard network exposure
    Check if the AstrBot dashboard interface is accessible over the network (review web server configuration, firewall rules, or reverse proxy settings)
    Affected if The dashboard is exposed to network access without additional authentication protections beyond the vulnerable module
  5. Confirm the vulnerability by testing authentication
    Attempt to authenticate to the dashboard using known default credential patterns found in the source code (if discovered in steps 2-3)
    Affected if Authentication succeeds using credentials extracted from the source code, confirming the hard-coded credential vulnerability

A user is affected if AstrBot is installed with the dashboard module and the source file astrbot/dashboard/routes/auth.py contains embedded static credentials that can be used to bypass authentication.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Replace all hard-coded credentials with secure, dynamic authentication mechanisms such as environment variables, a secrets management service, or hashed passwords with proper salting. Immediately restrict network access to the dashboard until the fix is deployed.

Have this fixed Scoped from the published advisory
  • Consultation3.0 h
  • Implementation6.0 h
  • Testing2.0 h
  • Review / QA3.0 h
14.0 hours of engineering $2,520
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-7579 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
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  • Version or environment caveats, and links to real fixes
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