CVE-2025-58586: User Enumeration by excessive error output
For failed login attempts, the application returns different error messages depending on whether the login failed due to an incorrect password or a non-existing username. This allows an attacker to guess usernames until they find an existing one.
Security readout for executives and security teams
Plain-English summary
This flaw lets outsiders learn whether a username exists by comparing login error messages. It does not give direct access, but it can help attackers build valid user lists for password attacks or social engineering against affected SICK Analytics systems.
Executive priority
Treat as a medium-priority hardening item unless systems are internet-exposed or protect sensitive operational access, where it should be prioritized sooner.
Technical view
CVE-2025-58586 is CWE-204 user enumeration from excessive error output during failed authentication. The source lists network attackability, low complexity, no privileges or user interaction, and confidentiality-only impact, with CVSS 3.1 score 5.3.
Likely exposure
Exposure is most relevant where affected SICK Baggage, Tire, Package, Logistic Diagnostic, or Enterprise Analytics login interfaces are reachable by untrusted networks or broad internal populations.
Exploitation context
The bundle does not cite active exploitation and KEV is false. The issue is useful for reconnaissance because valid usernames can support later credential attacks, but the source does not show credential compromise by itself.
Researcher notes
The affected list includes Enterprise Analytics all versions and four other SICK Analytics products with version value 0 in the bundle. No patch details were provided here; rely on SICK advisory data for exact remediation status.
Mitigation direction
Check SICK PSIRT advisory SCA-2025-0010 for fixed versions or official mitigations.
Restrict access to affected login interfaces using trusted network paths and segmentation.
Standardize failed-login responses if configurable or available through vendor updates.
Enable rate limiting, alerting, and lockout policies appropriate for operations.
Review exposed accounts and disable unused or default accounts.
Validation and detection
Inventory SICK Analytics deployments and map them to listed affected products.
Compare installed versions against SICK advisory SCA-2025-0010.
In an approved test environment, confirm failed logins do not disclose username validity.
Review authentication logs for broad username guessing or repeated failures.
Confirm access controls limit login reachability to intended users and networks.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
cwe · low confidence lookup
CWE-204: Exact CWE lookup
Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
The CVE wording references authentication or credential exposure, so valid-account and credential-access review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
ScoreVersionSeverityVectorExploitImpactSource
5.3CVSS 3.1MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N3.91.4SICK AG
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
CWE-204 · source CWE mapping
Observable Response Discrepancy
Observable Response Discrepancy represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.