External risk intelligence

SICK Analytics Applications Authentication Bypass Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2025-58587

The affected products are industrial analytics applications. While these systems often operate in isolated OT or internal corporate environments, they are sometimes deployed in ways that are network-reachable, and the authentication interface for such analytics platforms may be exposed depending on specific organizational deployment and integration requirements.

Sick Baggage Analytics

Halo Surface Signal: 3 out of 5 — possibly public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

This advisory concerns a vulnerability in several analytics applications that could allow an attacker to guess user credentials through repeated failed login attempts. The issue is considered critical and could potentially lead to unauthorized access.

  • Weak authentication allows credential guessing.
  • Critical vulnerability affects analytics applications.
  • Confirm relevance and potential exposure.

Attack Path

How an attacker could exploit the issue

An attacker could attempt to gain unauthorized access to the system by repeatedly guessing user login credentials. This is possible because the application does not sufficiently limit the number of failed login attempts within a given period. Successful credential guessing could lead to a compromise of the system.

  • No authentication required to attempt access.
  • Repeatedly guessing credentials triggers vulnerability.
  • Unauthorized access and system compromise.

Live Threat

Current exploitation, exposure, and threat context

When supported by the advisory, system data and service behavior could be affected if an attacker can repeatedly guess user credentials, potentially leading to unauthorized access and disruption of the analytics services.

  • Analytics application data.
  • Repeatedly guessing user credentials.
  • Unauthorized access and service disruption.

Operational Fix

Recommended remediation, mitigation, and detection steps

This vulnerability affects multiple SICK analytics applications, and likely impacts the teams responsible for the application's deployment and management. The first action should be to identify all instances of the affected software, confirm their reachability and criticality, and then assign ownership for remediation planning.

  • Own by application or platform teams.
  • Verify network exposure and business impact.
  • Plan remediation based on verified risk.

Supplementary metadata

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

Frequently asked questions

What is the SICK analytics software suite?

SICK analytics applications like package_analytics, baggage_analytics, and tire_analytics are specialized industrial software tools. They are designed to process, visualize, and report on operational data gathered from sensors in logistics, manufacturing, and distribution environments to optimize tracking and facility performance.

How does CVE-2025-58587 function?

This vulnerability is classified as CWE-307: Improper Restriction of Excessive Authentication Attempts. In plain terms, the software lacks a mechanism to throttle or block login attempts. This allows an attacker to programmatically cycle through large lists of username and password combinations until they successfully guess a valid set of credentials, effectively bypassing security controls.

Do I need to be authenticated to trigger this flaw?

No. The vulnerability does not require the attacker to have any pre-existing access, valid credentials, or user sessions to begin the guessing process. It is triggered solely by the application's failure to recognize and lock out rapid, automated, or repeated login requests originating from an external source.

Why should I care about this CVE?

Halo Surface Signal indicates that while these applications are often kept within internal or OT networks, they are frequently deployed in ways that become network-reachable. If your instance is accessible over a broader network or the internet, it faces a higher risk of unauthorized access, which could lead to data compromise or disruption of your analytics services.

What is the first step to address this?

Begin by auditing your environment to locate all running instances of the affected SICK applications. Once identified, verify their specific network accessibility to determine if they are exposed to untrusted zones. Use these findings to prioritize remediation planning, ensuring your team has ownership over securing the authentication path for these critical services.

References