Live Exposure Defense: From CVE to Confirmed Exposure in 12 Hours – See more

New CVE Detected

CVE-2026-82453 – Cleartext Password Disclosure – rust-iot-platform (commits through 5df942ab)

Be the first to know when new zero-days emerge:

Summary

CVE-2026-82453 affects rust-iot-platform, an open-source IoT platform maintained by iot-ecology. The application stores user passwords in cleartext and exposes them via API responses on user retrieval and listing routes, allowing any party able to reach these endpoints to obtain plaintext credentials for every account in the system. The issue is rated HIGH severity (CVSS v4.0 base score 8.7) and is remotely exploitable over the network with no authentication or user interaction required to view the exposed data via the affected endpoints.

Technical details

  • Root cause: User passwords are persisted in the database without cryptographic hashing (e.g., bcrypt, Argon2). Password comparisons during authentication are also performed directly against cleartext values in user_biz.rs, confirming that hashing is never applied anywhere in the credential lifecycle.
  • Trigger conditions: No special preconditions are required beyond the ability to invoke the platform’s user-retrieval or user-listing API routes; any response returned by these routes includes the plaintext password field for the affected user records.
  • Attack vector: Network — an attacker (or any principal with access to these API endpoints) can read plaintext credentials directly from HTTP responses without needing to crack or decrypt anything.
  • Impact: Full disclosure of plaintext passwords for all user accounts stored by the platform, enabling direct account takeover, credential reuse attacks against other systems, and lateral movement — with no need for offline password cracking since the credentials are never hashed in the first place.
  • Weakness classification: CWE-256 (Plaintext Storage of a Password).

Affected software

  • iot-ecology/rust-iot-platform — all versions/commits up to and including commit 5df942ab6bc46a3bf83dbee8c7970554f92c972d are affected.

Severity

  • CVSS v4.0 Base Score: 8.7 (High) — CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
  • CVSS v3.1 Base Score: 7.5 (High) — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Mitigation and recommended actions

  • Immediate: Upgrade to a version/commit of rust-iot-platform later than 5df942ab6bc46a3bf83dbee8c7970554f92c972d that removes plaintext password storage and exposure from user retrieval/listing responses, once such a fix is published by the maintainers.
  • If no patch is yet available:
    • Restrict network access to the affected user retrieval and listing API routes (e.g., via firewall rules, VPN, or API gateway allow-listing) to trusted administrative sources only.
    • Audit application code to ensure passwords are hashed with a strong, salted algorithm (bcrypt, scrypt, or Argon2) at rest, and remove password fields from any API response payloads.
    • Force a password reset for all existing accounts once hashing is implemented, since any previously exposed plaintext credentials should be considered compromised.
    • Monitor authentication logs for signs of credential reuse or unauthorized login attempts using potentially leaked passwords.

References

Are you exposed?

Get a free report of your organization’s exposure to this CVE and threat

How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

Are you exposed?

Get a free report of your organization’s exposure to this CVE and threat

Subscribe to Threat Center RSS

Copy/paste the link below into your preferred RSS reader or follow these instructions to subscribe to Slack alerts.

Get Real-Time CVE Alerts to Your Email

Be the first to know when new zero-days emerge