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CVE Record

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.

MediumCVSS 5.3Not KEV-listedUpdated
Glexia's TakeAutomated analysismoderate

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.
Prepared
Confidence
high
Sources
7

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.

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description · low confidence lookup

Credential and access behavior lookup

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.

Open ATT&CK lookup
cve · low confidence lookup

CVE-2025-58586 mapping review

Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.

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Vulnerability profileCVE Program record
Severity
Medium
CVSS
5.3 (3.1)
Known Exploited
No
Published

Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Official CVE source material

CNA and ADP enrichment extracted from CVE v5

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.

1CVSS vectors
3Timeline events
1ADP providers
7Source links

SSVC decision data

CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: noneAutomatable: yesTechnical Impact: partial

CVSS vector scores

1 official score

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

Vulnerability scoring details

Base CVSS 3.1 score

5.3Medium
CVSS 3.1 vector shape for CVE-2025-58586Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Privileges Required
NoneLowHigh
User Interaction
NoneRequired
Scope
ChangedUnchanged
Confidentiality Impact
HighLowNone
Integrity Impact
HighLowNone
Availability Impact
HighLowNone

Vulnerability timeline

Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.

  1. CVE reservedCVE Program

    The CVE ID was reserved by the assigning CNA.

  2. CVE publishedCVE Program

    The CVE record was published.

  3. CVE updatedCVE Program

    The CVE record metadata indicates this as the latest update time.

ADP provider summaries

CISA-ADPCISA ADP Vulnrichment
other:ssvc

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
SICK AGBaggage Analytics0affected
SICK AGTire Analytics0affected
SICK AGPackage Analytics0affected
SICK AGLogistic Diagnostic Analytics0affected
SICK AGEnterprise Analyticsall versionsaffected
Weakness

CWE details

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.