CVE-2026-70560 (GCVE-0-2026-70560)
Vulnerability from cvelistv5 – Published: 2026-08-12 11:17 – Updated: 2026-10-01 21:44
VLAI
EPSS
VEX
Title
Ultimate POS Stored XSS via First Name Field in Leave Notifications
Summary
Ultimate POS (Stock Management & Point of Sale) contains a stored cross-site scripting vulnerability that allows low-privileged authenticated attackers to inject arbitrary HTML and script markup by setting a malicious payload in the user first-name field during account creation. Attackers with a low-privileged role such as Cashier can submit a leave request through the HRM/Leave module, causing the unsanitized first-name markup to execute in the browser session of any higher-privileged user who views the leave-application notification pane, enabling cross-user session compromise within the admin origin.
Severity
5.4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-12 12:27 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://codecanyon.net/item/ultimate-pos-stock-ma… | product |
| https://github.com/aaronamran/CVE-Disclosures/tre… | technical-description |
| https://www.vulncheck.com/advisories/ultimate-pos… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Ultimate Fosters | Ultimate POS (Stock Management & Point of Sale) |
Affected:
0 , ≤ 7.2
(custom)
cpe:2.3:a:ultimatefosters:ultimatepos:*:*:*:*:*:*:*:* |
Date Public
2026-08-11 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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