LOW 3.7

CVE-2026-13510: Weak Cryptographic Hash in SimStudioAI Password Protection

SimStudioAI's password protection mechanism in versions up to 0.6.92 uses weak cryptographic hashing, allowing attackers to potentially recover or manipulate password data. While the attack requires specific conditions and has high complexity, a public exploit exists, making this a meaningful concern for organizations using affected versions. The vulnerability affects confidentiality but not integrity or availability.

Source data · NVD / CISA · public domain

CVSS
3.1 · 3.7 LOW · CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N
Weaknesses (CWE)
CWE-327, CWE-328
Affected products
0 configuration(s)
Published / Modified
2026-06-28 / 2026-06-29

NVD description (verbatim)

A vulnerability was found in SimStudioAI sim up to 0.6.92. Affected by this vulnerability is an unknown functionality in the library apps/sim/lib/core/security/deployment.ts of the component Password Protection Handler. Performing a manipulation results in use of weak hash. The attack is possible to be carried out remotely. The attack's complexity is rated as high. The exploitation appears to be difficult. The exploit has been made public and could be used. The pull request to fix this issue awaits acceptance.

7 reference(s) · View on NVD →

SEC.co analysis · AI-assisted, reviewed against source

Technical summary

The vulnerability resides in the Password Protection Handler component (apps/sim/lib/core/security/deployment.ts) where password hashing employs weak cryptographic algorithms. This falls under CWE-327 (Use of a Broken or Risky Cryptographic Algorithm) and CWE-328 (Use of Insufficiently Random Values). An attacker can remotely exploit this by manipulating password protection logic, though successful exploitation requires high attack complexity. The weakness potentially enables password recovery or bypass depending on the specific hash algorithm and implementation details.

Business impact

Compromised password hashes could lead to unauthorized access to SimStudioAI instances if attackers are able to crack or precompute values against weak algorithms. For organizations relying on SimStudioAI for simulation workloads, this poses a confidentiality risk—attackers with network access may extract password material for credential reuse elsewhere. The impact is limited by attack complexity, but the public nature of the exploit removes a significant barrier to widespread attempts.

Affected systems

SimStudioAI versions up to and including 0.6.92 are vulnerable. Organizations must verify their current deployed version and identify all internal instances, particularly those exposed to untrusted networks or handling sensitive simulation data.

Exploitability

A public exploit has been released, reducing the barrier to weaponization. However, the attack carries high complexity requirements, meaning successful exploitation is not trivial and may depend on environmental factors, authentication state, or network positioning. Remote exploitation is possible without user interaction, but the practical challenge of execution limits widespread autonomous attacks.

Remediation

Upgrade SimStudioAI to a version above 0.6.92 as soon as practical. A pull request to resolve the weak hash implementation is pending vendor acceptance; monitor the project repository for official release announcements. Until an official patch is available, consider isolating SimStudioAI instances from untrusted networks or implementing additional access controls.

Patch guidance

Check the SimStudioAI project repository and vendor advisories for availability of a patched version superseding 0.6.92. The fix is expected to implement cryptographically strong hash functions (e.g., bcrypt, Argon2, or PBKDF2 with adequate iterations). Apply patches in a staged rollout after testing in a non-production environment to ensure compatibility with your deployment.

Detection guidance

Monitor network traffic for unusual authentication attempts or password reset activity against SimStudioAI instances. Review logs for multiple failed login attempts in short timeframes, which may indicate hash-cracking activity. If version inventory tools are available, scan for instances running 0.6.92 or earlier. Additionally, monitor the deployment.ts component and surrounding authentication code for signs of manipulation or access.

Why prioritize this

While the CVSS score of 3.7 (LOW) reflects limited severity, the combination of public exploit availability and remote accessibility makes this a medium-priority remediation. Organizations should plan an upgrade within 30–60 days, sooner if SimStudioAI instances are internet-facing or handle high-value data. The high attack complexity reduces immediate urgency but does not eliminate risk, especially as exploit maturity increases over time.

Risk score, explained

The CVSS 3.1 score of 3.7 reflects a low-severity issue constrained by high attack complexity (AC:H), lack of privileges required (PR:N), and limited impact to confidentiality only (C:L). Network accessibility (AV:N) and absence of user interaction (UI:N) prevent a lower rating. The score does not factor in public exploit availability or organizational risk tolerance; teams should apply additional context specific to their environment.

Frequently asked questions

Do I need to patch immediately if I run SimStudioAI 0.6.92?

Not immediately, but plan a patch within 30–60 days. The attack's high complexity and remote requirement mean opportunistic exploitation is less likely than with critical flaws. However, organizations with internet-facing instances or handling sensitive data should prioritize sooner. Monitor vendor advisories for official patch availability.

What happens if an attacker exploits this vulnerability?

An attacker could potentially recover or manipulate password hashes associated with SimStudioAI user accounts. Depending on password strength and the specific weak algorithm used, this might enable offline password cracking, credential reuse, or unauthorized access to simulation environments. Impact is confined to confidentiality; no remote code execution or denial of service is expected.

Is there a workaround if I cannot upgrade immediately?

Temporary mitigations include restricting network access to SimStudioAI instances to trusted IP ranges, implementing rate-limiting on authentication endpoints, enforcing strong passwords, and enabling multi-factor authentication if available. These reduce attack surface while you plan and test upgrades.

How do I know if my SimStudioAI deployment is vulnerable?

Check your installed version against 0.6.92. Run `npm list simstudioai` or equivalent package manager command, or check your deployment documentation. Any version ≤0.6.92 is affected. Once you identify vulnerable instances, prioritize patching based on network exposure and data sensitivity.

This analysis is based on vulnerability disclosures and public information as of the publication date. CVSS scores and severity ratings are provided by the vulnerability data source and may not reflect organizational risk context. Patch availability and version numbers must be verified against official vendor advisories and release notes. Organizations should conduct their own testing and risk assessment before deploying patches. No exploit code, proof-of-concept instructions, or weaponization guidance is provided or recommended. Source: NVD (public-domain), retrieved 2026-08-07. Analysis generated by SEC.co (claude-haiku-4-5).