CVE-2022-42992: Multiple stored cross-site scripting (XSS) vulnerabilities in Train Scheduler App v1.0 allow attackers to e...
Multiple stored cross-site scripting (XSS) vulnerabilities in Train Scheduler App v1.0 allow attackers to execute arbitrary web scripts or HTML via a crafted payload injected into the Train Code, Train Name, and Destination text fields.
Security readout for executives and security teams
Plain-English summary
Train Scheduler App v1.0 can store unsafe text in train-related fields. When another user views those records, malicious script or HTML could run in their browser. This is a business risk for session exposure, account misuse, and content tampering, but the published severity is medium.
Executive priority
Treat as a moderate-priority web application issue. Prioritize if the app is internet-facing, used by multiple roles, or handles sensitive sessions. Do not assume active exploitation from the provided sources.
Technical view
CVE-2022-42992 is a stored cross-site scripting issue, CWE-79, in the Train Code, Train Name, and Destination text fields. CVSS 3.1 is 5.4 with network access, low complexity, low privileges required, user interaction required, changed scope, and low confidentiality and integrity impact.
Likely exposure
Likely exposure is limited to Train Scheduler App v1.0 deployments where authenticated users can create or edit train records and other users later view them. The source bundle lists vendor, product, CPEs, and affected versions as n/a beyond the description.
Exploitation context
The CVE is not listed as KEV in the source bundle, so active exploitation is not established here. A public GitHub proof-of-concept reference is cited, but this analysis does not use or reproduce exploit steps.
Researcher notes
Evidence is sparse: the CVE description names Train Scheduler App v1.0 and affected fields, while structured affected metadata is n/a. No official patch, vendor advisory, or active exploitation evidence is present in the provided bundle.
Mitigation direction
Check vendor or project guidance for an official fix or maintained replacement.
Restrict access to train record creation and editing to trusted users.
If maintaining the code, add input validation and output encoding for affected fields.
Review stored train records for unexpected HTML or script-like content.
Consider browser-side hardening such as a restrictive Content Security Policy.
Validation and detection
Inventory systems for Train Scheduler App v1.0 deployments.
Confirm who can modify Train Code, Train Name, and Destination fields.
Review code paths that render those fields for output encoding.
Inspect existing train records for unsafe HTML or script-like content.
Test remediation in a non-production environment using benign non-executing markers.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
cwe · medium confidence lookup
CWE-79: User-session and phishing behavior lookup
Client-side and session-facing weaknesses should be reviewed alongside initial-access and user-execution behaviors. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.