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CVE-2026-20315 – Unauthenticated Full Compromise (Improper Access Control) – Cisco Secure Workload 1

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Summary

CVE-2026-20315 is a critical improper access control vulnerability (CWE-284) in Cisco Secure Workload, discovered by Cisco during an internal security review and disclosed as part of an August 2026 security hardening release. The flaw affects both SaaS and on-premises Secure Workload deployments and carries the maximum CVSS score of 10.0. Cisco states it is not aware of any public announcements or malicious use of this vulnerability.

Technical details

  • Root cause: Improper access control (CWE-284) within Cisco Secure Workload, covering authorization, authentication, privilege, and bypass weaknesses grouped under this single CVE.
  • Trigger conditions: No authentication or user interaction is required to trigger the issue (PR:N, UI:N).
  • Attack vector: Network-based (AV:N), low attack complexity (AC:L), exploitable remotely against exposed Secure Workload deployments.
  • Impact: Scope is changed (S:C), with high impact to confidentiality, integrity, and availability, indicating the vulnerability can affect resources beyond the vulnerable component itself.
  • Affects both SaaS and on-premises deployments, regardless of device configuration.

Affected software

  • Cisco Secure Workload releases 3.10 and earlier, including versions spanning the 1.x, 2.x, and 3.x lines (e.g., 1.102.21 through 3.10.x)
  • Cisco Secure Workload release 4.0, up to and including 4.0.3.17
  • Cluster, Agent, and Connector software components all require upgrading to fully remediate the vulnerability

Severity

  • CVSS v3.1 Base Score: 10.0 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: Upgrade Cisco Secure Workload release 3.10 and earlier to 3.10.9.1, and release 4.0 to 4.0.4.16.
  • For SaaS deployments, Cisco has already upgraded the Cluster software; customers only need to upgrade the Agent and Connector software.
  • No workarounds are available for this vulnerability — software upgrade is the only remediation path.
  • Contact Cisco TAC or your contracted maintenance provider for assistance with upgrade planning.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Set-Cookie response header: _tetration_session=
  • Page title: Cisco Secure Workload or Cisco Secure Workload As A Service

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

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By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

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Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Identification of potentially exposed assets to this CVE
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