Frappe Learning
CVE-2025-62779
LOW
Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain authenticated job-posting account
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ExploitInject HTML/script into Job Form field
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ExecutionVictim opens the Job Card page
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ImpactPayload executes in victim browser session
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Output encoding, context-aware escaping
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Execution The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Exploitation requires an authenticated account with permission to create or edit a Job posting in Frappe Learning (2.39.1 and earlier), since the injection point is the Job Form input fields. Per the patch, only string fields OTHER than 'description' were unescaped and vulnerable. Execution further requires a second user (e.g., another learner or administrator) to view the affected Job Card, so the attack is gated by victim user interaction (UI:P) and does not fire automatically. These factors - authenticated access, limited vulnerable fields, and required victim viewing - substantially constrain real-world impact despite network reachability. |
| Impact | All signals converge on this being a genuinely low-priority issue rather than a high-CVSS flaw masquerading as low risk - the inputs are internally consistent. The vendor-assigned CVSS 4.0 base score is only 1.2, driven by AV:N (network-reachable web app) but offset heavily by PR:L (attacker must hold an authenticated account), UI:P (a victim must actively view the malicious content), and impact confined to the subsequent system (SC:L/SI:L) with zero impact on the vulnerable system itself (VC:N/VI:N/VA:N) - consistent with a stored XSS that only executes in another user's browser. EPSS reinforces this: 0.18% probability at the 7th percentile indicates negligible likelihood of exploitation activity. There is no CISA KEV listing and no public exploit identified, so this is not under active exploitation. No SSVC decision data was provided in the input. No signals conflict: low EPSS, no KEV, no POC, low CVSS, and an authenticated+interaction-gated stored XSS all agree this is a minor, defense-in-depth fix rather than an urgent remediation priority. |
| Exploit ScenarioDerived | An authenticated user with access to create or edit a Job posting enters HTML/JavaScript into a Job Form input field (any string field other than 'description'). When another user or administrator later views the resulting Job Card in the Frappe Learning frontend, the injected script executes in their browser session. No public exploit code is identified at the time of analysis, and the attack requires an authenticated account plus a victim viewing the crafted entry. |
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Alert meAnalysisAIv1 – Oct 08, 2026
Stored cross-site scripting (XSS) in Frappe Learning 2.39.1 and earlier allows an authenticated user with permission to create or edit Job postings to inject HTML into Job Form input fields (excluding the description field), which then executes in the context of another user who views the affected Job Card. Exploitation requires a valid account and victim interaction (viewing the job posting); no public exploit code has been identified, and the EPSS score is 0.18% (7th percentile), indicating very low predicted exploitation activity. The vendor has released a fix commit that escapes HTML in vulnerable fields.
RemediationAI
Apply the vendor patch by upgrading to a version that includes commit 75001b494d5d8198eab20b0cd85d5bd719448ea3 (available at https://github.com/frappe/lms/commit/75001b494d5d8198eab20b0cd85d5bd719448ea3), which adds HTML escaping for all job string fields except 'description'. If immediate upgrade is not possible, restrict the ability to create or edit Job postings to trusted users only (least privilege) to reduce the attack surface, and ensure server-side input validation or sanitization is applied as a compensating control. Additionally, consider monitoring for suspicious job postings containing HTML or script tags. The vendor advisory is at https://github.com/frappe/lms/security/advisories/GHSA-j6h8-qg65-3fpx. No public exploit code is known, but the fix should be applied promptly to prevent potential stored XSS attacks.
Affects your stack
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Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
The vulnerability is a CWE-79 improper neutralization of input during web page generation (cross-site scripting) in the Vue.js-based frontend of Frappe Learning. Specifically, the JobForm.vue component failed to sanitize user-supplied strings for job fields, allowing an authenticated user to inject HTML or script content. The patch commit (75001b4) adds an escapeHTML utility and applies it to all string fields except 'description' within a validateJobFields function, and also adds a 'break-all' CSS class to the JobCard component. The affected technology stack includes Frappe Learning LMS, a learning management system built on the Frappe framework. The CPE cpe:2.3:a:frappe:learning:*:*:*:*:*:*:*:* covers all versions, but the advisory confirms versions 2.39.1 and earlier are affected. The CVSS 3.1 vector (AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N) indicates network reachability, low attack complexity, authenticated privileges required, and victim user interaction, with low confidentiality and integrity impact due to scope change.
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Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N/E:U
Authenticated user injects the payload (PR:L); a victim must view it (UI:R); script executes in the victim's browser across a trust boundary (S:C) with low confidentiality/integrity impact and no availability impact.
Primary rating from Vendor (github).
CVSS VectorVendor: github
DescriptionCVE.org
Frappe Learning is a learning system that helps users structure their content. In Frappe Learning 2.39.1 and earlier, users were able to add HTML through input fields in the Job Form.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Cross-Site Scripting occurs when an application accepts untrusted data and sends it to a web browser without proper validation or encoding.
Affected Products (CPE)CVE.org
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NVD
CVE.org
EPSS
GitHub
Exploit-DB