FKIE_CVE-2016-4350
Vulnerability from fkie_nvd - Published: 2016-05-09 20:59 - Updated: 2026-06-17 00:47
Severity
Summary
Multiple SQL injection vulnerabilities in the Web Services web server in SolarWinds Storage Resource Monitor (SRM) Profiler (formerly Storage Manager (STM)) before 6.2.3 allow remote attackers to execute arbitrary SQL commands via the (1) ScriptSchedule parameter in the ScriptServlet servlet; the (2) winEventId or (3) winEventLog parameter in the WindowsEventLogsServlet servlet; the (4) processOS parameter in the ProcessesServlet servlet; the (5) group, (6) groupName, or (7) clientName parameter in the BackupExceptionsServlet servlet; the (8) valDB or (9) valFS parameter in the BackupAssociationServlet servlet; the (10) orderBy or (11) orderDir parameter in the HostStorageServlet servlet; the (12) fileName, (13) sortField, or (14) sortDirection parameter in the DuplicateFilesServlet servlet; the (15) orderFld or (16) orderDir parameter in the QuantumMonitorServlet servlet; the (17) exitCode parameter in the NbuErrorMessageServlet servlet; the (18) udfName, (19) displayName, (20) udfDescription, (21) udfDataValue, (22) udfSectionName, or (23) udfId parameter in the UserDefinedFieldConfigServlet servlet; the (24) sortField or (25) sortDirection parameter in the XiotechMonitorServlet servlet; the (26) sortField or (27) sortDirection parameter in the BexDriveUsageSummaryServlet servlet; the (28) state parameter in the ScriptServlet servlet; the (29) assignedNames parameter in the FileActionAssignmentServlet servlet; the (30) winEventSource parameter in the WindowsEventLogsServlet servlet; or the (31) name, (32) ipOne, (33) ipTwo, or (34) ipThree parameter in the XiotechMonitorServlet servlet.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| solarwinds | storage_resource_monitor | * |
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"value": "M\u00faltiples vulnerabilidades de inyecci\u00f3n SQL en el servidor web Web Services en SolarWinds Storage Resource Monitor (SRM) Profiler (anteriormente Storage Manager (STM)) en versiones anteriores a 6.2.3 permiten a atacantes remotos ejecutar comandos SQL arbitrarios a trav\u00e9s de el par\u00e1metro (1) ScriptSchedule en el servlet ScriptServlet; (2) winEventId o (3) winEventLog en el servlet WindowsEventLogsServlet; (4) processOS en el servlet ProcessesServlet; (5) group, (6) groupName o (7) clientName en el servlet BackupExceptionsServlet; (8) valDB o (9) valFS en el servlet BackupAssociationServlet; (10) orderBy o (11) orderDir en el servlet HostStorageServlet; (12) fileName, (13) sortField o (14) sortDirection en el servlet DuplicateFilesServlet; (15) orderFld o (16) orderDir en el servlet QuantumMonitorServlet; (17) exitCode en el servlet NbuErrorMessageServlet; (18) udfName, (19) displayName, (20) udfDescription, (21) udfDataValue, (22) udfSectionName o (23) udfId en el servlet UserDefinedFieldConfigServlet; (24) sortField o (25) sortDirection en el servlet XiotechMonitorServlet; (26) sortField o (27) sortDirection en el servlet BexDriveUsageSummaryServlet; (28) state en el servlet ScriptServlet; (29) assignedNames en el servlet FileActionAssignmentServlet; (30) winEventSource en el servlet WindowsEventLogsServlet; o (31) name, (32) ipOne, (33) ipTwo o (34) ipThree en el servlet XiotechMonitorServlet."
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"id": "CVE-2016-4350",
"lastModified": "2026-06-17T00:47:23.683",
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.