Vulnerability report

Exploited in the wild High confidence Not in CISA KEV

CVE-2017-8961

Intelligent Management Center Path Traversal

Hewlett Packard Enterprise / Intelligent Management Center · 7.3 E0504P02

Severity
CVSS 8.8 · High
Confidence
High
Exploit status
Exploited in the wild
EPSS
19.1%
First observed
Last observed

Decision summary

What security teams need to know first

Direct answers before the deeper technical record.

What it is

CVE-2017-8961 is a vulnerability affecting Hewlett Packard Enterprise Intelligent Management Center. A directory traversal vulnerability in HPE Intelligent Management Center (IMC) PLAT 7.3 E0504P02 could allow remote...

Is it exploited?

Yes. KEV Intelligence tracks this CVE as a known exploited vulnerability. Confidence is high.

Who is affected?

Hewlett Packard Enterprise / Intelligent Management Center 7.3 e0504p02.

What should we do?

Prioritize remediation. Validate affected assets and apply vendor fixes on an accelerated timeline.

Overview

Intelligent Management Center Path Traversal

A directory traversal vulnerability in HPE Intelligent Management Center (IMC) PLAT 7.3 E0504P02 could allow remote code execution.

Vendor Product Affected Status
Hewlett Packard Enterprise Intelligent Management Center 7.3 E0504P02 Affected
Published
15 Feb 2018
Exploitation Reported
12 Nov 2025
Attack vector
Remote
Complexity
Low
Privileges
Low
User interaction
None

CVE References

  • CVE Record CVE.org · CVE Record https://www.cve.org/CVERecord?id=CVE-2017-8961
  • 1039702 securitytracker.com · VDB Entry http://www.securitytracker.com/id/1039702
  • support.hpe.com/hpsc/doc/public/display support.hpe.com · CVE Record https://support.hpe.com/hpsc/doc/public/display?docId=emr_na-hpesbhf0...

Exploitation evidence

Why KEV Intelligence marks this CVE as exploited

Third-party attestation and first-party sensor observation are shown separately so teams can judge the evidence chain.

Exploited in the wild

The Shadowserver

Recorded 12 Nov 2025

Independent exploitation attestation added to the KEV Intelligence record.

Known exploited vulnerability sources

Per-source evidence links for KEV attestations are available through the KEV Intelligence Pro API.

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Source Added
The Shadowserver First 2025-11-12 00:00 UTC

Detection

Operational artifacts and observed signals

Make the evidence actionable in scanner, SOC, and edge-control workflows.

Observed signals

Request targets
0
User-Agents
0

Raw values available in Pro and Enterprise.

Scanner coverage

No scanner integrations recorded yet.

Virtual patch status

No KEV Intelligence virtual patch is currently available. Future rules ship for ModSecurity, Cloudflare, and AWS WAF.

Learn about virtual patches →

No detection artifacts or sensor request patterns are available for this CVE yet.

Check back as sensor telemetry and scanner integrations are updated.

Risk and context

Severity, weaknesses, and research context

CVSS v3.0

8.8 High
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

EPSS

19.1%

All CVSS Scores

CVSS v3.0 8.8 High

CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

CVSS v2.0 9.0 High

AV:N/AC:L/Au:S/C:C/I:C/A:C

Timeline

From disclosure to observed exploitation

  1. Added to KEV Intelligence KEV Feed

    High-confidence, third-party attested exploitation

  2. CVE published

    Vulnerability disclosed publicly

  3. CVE ID reserved

    Identifier reserved by the CNA

Pro API

Automate this intelligence

Confidence, exploit status, sensor telemetry, PoCs, scanner integrations, mentions, and tags are available programmatically for VM, SOC, and CTI workflows.

  • Evidence confidence and provenance
  • First-party sensor telemetry
  • PoC and scanner references
  • Affected versions and enrichment
  • Automation-ready JSON delivery

GET /api/v2/pro/kevs/CVE-2017-8961

Free JSON includes basic KEV fields
{
  "cve_id": "CVE-2017-8961",
  "confidence": "High",
  "cvss_score": 8.8,
  "cvss_estimated": false,
  "epss_score": 0.19056,
  "exploit_status": {
    "exploited_in_the_wild": true,
    "active_exploitation_observed": false
  },
  "sensor_telemetry": { "attempts": 0, "sensors": 0 }
}

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