Cyber Resilience

CVE-2026-106501

Info Disclosure in Linuxfoundation Backstage\/Plugin-Scaffolder-Backend ≤ 3.3.1

Published
06 October 2026
Modified
13 October 2026
Patch / advisory
CVSS Score v3.1 9.6
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N
EPSS Score 0.0047 39th percentile
Risk Priority 66 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2026-106501 is a critical-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Linuxfoundation Backstage\/Plugin-Scaffolder-Backend. Its CVSS base score is 9.6 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Network Sniffing (T1040); ranked at the 39th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and AC-4 (Information Flow Enforcement) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Backstage is an open framework for building developer portals. Prior to 3.3.1, 3.4.1, 4.0.3 and 4.1.0, the @backstage/plugin-scaffolder-backend package is affected by sensitive information exposure in scaffolder. An authenticated Backstage user who can read another user's Scaffolder task may receive…

more

internal execution data. In deployments where that data contains credentials for an external service, this may permit disclosure and unauthorized changes in that external service. This issue is fixed in versions 3.3.1, 3.4.1, 4.0.3 and 4.1.0.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1040 Network Sniffing Credential Access
Adversaries may passively sniff network traffic to capture information about an environment, including authentication material passed over the network.
T1557 Adversary-in-the-Middle Credential Access
Adversaries may attempt to position themselves between two or more networked devices using an adversary-in-the-middle (AiTM) technique to support follow-on behaviors such as [Network Sniffing](https://attack.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-35189Shared CWE-200, CWE-201
CVE-2025-66304Shared CWE-200, CWE-201
CVE-2026-40293Shared CWE-200, CWE-201
CVE-2026-45739Shared CWE-200, CWE-201
CVE-2024-6747Shared CWE-200, CWE-201
CVE-2026-33180Shared CWE-200, CWE-201
CVE-2026-44486Shared CWE-200, CWE-201
CVE-2023-49261Shared CWE-200, CWE-201
CVE-2026-55553Shared CWE-200, CWE-201
CVE-2026-55180Shared CWE-200, CWE-201

Affected Assets

linuxfoundation
backstage\/plugin-scaffolder-backend
≤ 3.3.1 · 3.4.0 — 3.4.1 · 4.0.0 — 4.0.3
linuxfoundation
backstage
≤ 1.49.6 · 1.50.0 — 1.50.5 · 1.51.0 — 1.54.6

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)
  • 1 hardening rule · 1 OS baseline
Validate
Prove the fix (OWASP ASVS)
  • V14.2.3

Mitigating Controls (NIST 800-53 r5) AI

Enforces authorizations on logical access so that sensitive data is not released to unauthorized recipients.

Directly enforces policy-based information flow rules that block transmission of sensitive data to unauthorized actors.

Requires validation of outbound information to ensure sensitive content is not disclosed in responses or messages.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

DE.CM-09 partial match
blocks

Monitoring runtime data flows and outputs can detect sensitive data being transmitted.

PR.DS-02 partial match
blocks

Protecting data-in-transit can include filtering or encrypting to avoid exposing sensitive content.

PR.DS-10 partial match
blocks

Protecting data-in-use includes removing confidential values before they are processed or sent.

PR.PS-06 partial match
blocks

Secure SDLC practices directly prevent insertion of sensitive data into application outputs and messages.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

blocks

A.5.10 only requires awareness, a topic-specific acceptable-use policy stating expected behaviours/monitoring, and procedures referencing classification and other controls; per the owner's explicit rule on labelling and similar dependency-style clauses, this does not itself prevent exposure (CWE-200) unless access/DLP/etc. act on it.

blocks

Requiring the return of all physical and electronic assets plus secure deletion of organizational data from personal devices reduces the chance that sensitive information remains accessible to departing personnel.

blocks

A.5.12 only defines and communicates a classification scheme so that protection needs can be understood; per the owner's explicit rule, labeling/classification does not itself prevent exposure and requires other controls (e.g. access enforcement) to act on it.

blocks

By requiring classification labels and metadata on all information assets, the control makes it harder for sensitive data to be inadvertently exposed because downstream systems and users can recognize and enforce handling rules based on those labels.

blocks

Requiring encryption, access controls, and recipient authentication for transfers directly reduces the chance that sensitive data reaches an unauthorized observer.

removes

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

References