SICK Analytics
CVE-2025-58587
CRITICAL
Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessReach application login endpoint over network
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DeliveryEnumerate or assume valid username
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ExploitAutomate high-volume password guessing (no lockout)
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ExecutionObtain valid credentials
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ImpactAuthenticate and access account data/functions
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A07:2025 - Authentication Failures
ASVS 5.0
V6 - Authentication Brute-force prevention, rate limiting
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| Exploitation Conditions | Exploitation requires network reachability to the authentication/login interface of an affected SICK Analytics product (Baggage, Enterprise, Logistic Diagnostic, Package, or Tire Analytics) and at least one valid or guessable username; the core enabling condition is the application's absence of lockout/throttling after repeated failed logins. Success is LIMITED by actual password strength and by the attacker's ability to determine a valid username, and by any compensating controls (network segmentation, upstream WAF/rate-limiting, MFA) deployed in front of the application - these industrial products are frequently on segmented OT/logistics networks rather than internet-facing, materially reducing real-world reach. |
| Impact | This is CWE-307 (improper restriction of excessive authentication attempts) across SICK's Analytics product line, enabling credential brute-force/guessing. The NVD CVSS vector (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H = 9.8 Critical) models the OUTCOME of a successful guess (full account takeover) rather than the weakness itself, which somewhat inflates the independent severity: real exploitability depends heavily on password strength, any compensating lockout at other layers, and network reachability of the login interface. No EPSS score, KEV listing, or POC was provided in the input, so there is no signal of active or probable exploitation - no public exploit identified at time of analysis. No SSVC decision data was supplied. Net assessment: a genuinely serious authentication-hardening gap, but the 9.8 'Critical' rating overstates independent risk for a rate-limiting flaw whose success is conditional on guessable credentials; treat as high-priority hardening rather than confirmed imminent compromise, especially given these are niche industrial/logistics analytics products with a limited exposure footprint. |
| Exploit ScenarioDerived | An attacker with network access to the login endpoint of a SICK Analytics application (e.g. Package or Baggage Analytics) scripts automated high-volume credential guessing against a known or enumerated username. Because the application does not throttle or lock out repeated failed attempts, the attacker can iterate through password/credential lists until a valid credential is found, then log in with that user's privileges. No public exploit code is required - standard brute-force or credential-stuffing tooling suffices given AV:N/AC:L. |
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Alert meAnalysisAIv1 – Oct 18, 2026
Credential brute-force and password guessing against the login interfaces of SICK Analytics products (Baggage, Enterprise, Logistic Diagnostic, Package, and Tire Analytics) can lead to account takeover because the application lacks sufficient failed-authentication throttling or lockout. Remote attackers with network reach to a login endpoint and knowledge of a valid or guessable username can make repeated attempts; the independent assessment rates the impact as High but sets attack complexity to High because success depends on password strength, username discovery, and whether compensating controls such as network segmentation or MFA are present. No public exploit code or CISA KEV active exploitation was identified at time of analysis.
RemediationAI
Apply the vendor remediation documented in SICK advisory SCA-2025-0010; exact fixed versions are not specified in the provided data, so confirm the product-specific patched release in the CSAF JSON or PDF before upgrading. If immediate patching is not possible, restrict access to login interfaces to trusted management networks or VPN, deploy an upstream reverse proxy or WAF with rate limiting and temporary lockout after repeated failures, enforce MFA where supported, and monitor authentication logs for brute-force patterns. These controls have trade-offs: lockout and rate limiting can temporarily deny legitimate users, WAF or proxy deployment adds latency and operational complexity, and network restriction reduces remote accessibility for logistics and OT users.
Affects your stack
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Technical ContextAI · show details
CWE-307 describes improper restriction of excessive authentication attempts. In these SICK analytics applications, the authentication/login interface does not implement sufficient rate limiting, account lockout, backoff, or anti-automation controls, allowing repeated password guesses against a known username. The CPE data identifies SICK Baggage Analytics, Enterprise Analytics, Logistic Diagnostic Analytics, Package Analytics, and Tire Analytics, with wildcard version fields, so exact affected ranges must be taken from SICK advisory SCA-2025-0010. The assessed vector is CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H, reflecting remote reachability but high attack complexity because success is limited by password strength, the attacker's ability to determine a valid username, and any upstream compensating controls.
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Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Network, unauthenticated login (AV:N/PR:N), but success depends on guessable credentials and many attempts, so AC:H; a compromised account yields full C/I/A on that account.
Primary rating from NVD.
CVSS VectorNVD
DescriptionNVD
The application does not implement sufficient measures to prevent multiple failed authentication attempts within a short time frame, making it possible for an attacker to guess user credentials.
Executive ViewAI
SICK Analytics products (Baggage, Enterprise, Logistic Diagnostic, Package, and Tire Analytics) expose login interfaces that can be abused for credential brute-force, risking account takeover across operational analytics environments. With no vendor-released patch identified at time of analysis, leadership should treat this as a resilience and access-governance issue because compromised accounts could expose sensitive operational data and require coordinated containment. The issue is rated critical, though successful exploitation depends on password strength, username discovery, and whether controls such as network segmentation or MFA are already in place.
No vendor-released patch identified; interim controls include network segmentation and allowlisting, VPN or jump-host access, MFA where supported, strong password policy and account lockout/rate limiting at proxy/WAF/IdP, disabling default and unused accounts, and centralized monitoring/alerting for failed authentication.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
Affected Products (CPE)NVD
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NVD
CVE.org
EPSS
GitHub PoC
Exploit-DB