SICK Analytics CVE-2025-58579
MEDIUMAttack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessReach exposed Analytics endpoint over network
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DeliverySend unauthenticated request to vulnerable endpoint
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ExploitObserve response differences per user
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ExecutionEnumerate valid usernames
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ImpactFeed accounts into password-spray/phishing
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V14 - Data Protection System info exposure prevention
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| Exploitation Conditions | Exploitation requires network reachability to the unauthenticated data endpoint exposed by the affected SICK Analytics products (Baggage, Enterprise, Logistic Diagnostic, Package, and Tire Analytics). Per the description, the endpoint lacks authentication, so no credentials, user interaction, or special configuration are needed (PR:N/UI:N/AC:L) against default deployments. The primary limiting factor is exposure: impact is confined to disclosure of valid usernames (C:L, no integrity/availability effect), and risk drops sharply when these operational-technology analytics applications are segmented behind a firewall/VPN and not reachable from untrusted networks, per SICK's cybersecurity operating guidelines. |
| Impact | This is a moderate, low-priority information-disclosure issue rather than a critical threat. The CVSS 3.1 base score of 5.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N) indicates a network-reachable, unauthenticated, low-complexity flaw with only limited confidentiality impact and no integrity or availability impact - consistent with CWE-497 and the described user-enumeration weakness. No EPSS score, CISA KEV listing, or public proof-of-concept was provided in the input, so there is no public exploit identified at time of analysis and no evidence of active exploitation; exploitation status cannot be elevated beyond the raw CVSS signal. The signals are internally consistent (network vector matches an unauthenticated HTTP-style endpoint), so there is no CVSS-vs-description conflict to flag. The realistic value to an attacker is reconnaissance - harvesting valid usernames to seed password-spraying, phishing, or follow-on attacks against the identified SICK Analytics products - not direct compromise. Absent exploitation telemetry (EPSS/KEV/POC all unknown), treat this as a defense-in-depth hardening item, prioritized by whether the affected SICK Analytics endpoints are internet-exposed. |
| Exploit ScenarioDerived | An unauthenticated attacker who can reach the affected SICK Analytics web endpoint over the network sends crafted requests to the vulnerable endpoint and observes response differences to confirm which usernames exist. The harvested account list is then reused for targeted password-spraying or phishing. No public proof-of-concept was provided, and the low attack complexity (AC:L) means no special timing or race conditions are required. |
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Alert meAnalysisAIv1 – Oct 18, 2026
Unauthenticated user enumeration in SICK Analytics products allows remote attackers to query an endpoint without credentials and disclose valid usernames. The issue affects Baggage Analytics, Enterprise Analytics, Logistic Diagnostic Analytics, Package Analytics, and Tire Analytics, with a CVSS 3.1 score of 5.3 (AV:N/AC:L/PR:N/UI:N/C:L/I:N/A:N) and confidentiality-only impact. No public exploit or CISA KEV entry was identified at time of analysis, making this a moderate, low-priority information-disclosure issue.
RemediationAI
No exact fixed version is specified in the provided data, so the primary action is to review and apply the remediation in SICK security advisory SCA-2025-0010 (https://www.sick.com/.well-known/csaf/white/2025/sca-2025-0010.json) and the SICK PSIRT page (https://sick.com/psirt) for the patched release applicable to each analytics product. Until the vendor fix is applied, restrict network reachability to the affected unauthenticated endpoint by placing the analytics applications behind a firewall or VPN and allowing only trusted administrative or integration hosts, consistent with SICK cybersecurity operating guidelines and CISA ICS recommended practices; this reduces exposure but may break legitimate remote integrations. If the endpoint can be disabled or access-controlled without disrupting operations, do so and monitor for username-enumeration patterns; such controls may affect product functionality.
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Technical ContextAI · show details
The affected products are SICK operational-technology analytics applications used in baggage, enterprise, logistics diagnostic, package, and tire workflows. The root cause is CWE-497, Exposure of Sensitive System Information to an Unauthorized Control Sphere: an endpoint intended to return data lacks an authentication check, so remote users can request data that reveals valid usernames. The CVSS vector confirms network reachability, low attack complexity, no privileges required, and no user interaction, but impact is limited to low confidentiality loss with no integrity or availability effect. CPE entries use a wildcard version for all five products, and the provided input does not define a narrower affected version range; exposure is primarily governed by whether the analytics application is reachable from untrusted networks.
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- Exploit and PoC references, threat intelligence from 22 sources
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Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Unauthenticated network endpoint with no user interaction (AV:N/AC:L/PR:N/UI:N); only username disclosure gives C:L with no integrity or availability impact.
Primary rating from Vendor (sick).
CVSS VectorVendor: sick
DescriptionCVE.org
Due to a lack of authentication, it is possible for an unauthenticated user to request data from this endpoint, making the application vulnerable for user enumeration.
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)CVE.org
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NVD
CVE.org
EPSS
GitHub PoC
Exploit-DB