PatchSiren cyber security CVE debrief
CVE-2025-10913 Saastech Cleaning and Internet Services Inc. CVE debrief
CVE-2025-10913 is a Cross-Site Scripting (XSS) vulnerability in TemizlikYolda, affecting versions through 11022026. The vulnerability has a CVSS score of 8.3 and is classified as HIGH severity. The CVE was published on 2026-02-11 and last modified on 2026-06-05.
- Vendor
- Saastech Cleaning and Internet Services Inc.
- Product
- TemizlikYolda
- CVSS
- HIGH 8.3
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-02-11
- Original CVE updated
- 2026-06-05
- Advisory published
- 2026-02-11
- Advisory updated
- 2026-06-05
Who should care
Developers and administrators using TemizlikYolda should be aware of this vulnerability and take necessary actions to mitigate the risk.
Technical summary
The vulnerability is caused by improper neutralization of input during web page generation, allowing for Cross-Site Scripting (XSS) attacks. The CVSS vector is CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:H.
Defensive priority
HIGH
Recommended defensive actions
- Update TemizlikYolda to a version beyond 11022026.
- Implement proper input validation and sanitization to prevent XSS attacks.
Evidence notes
The vendor was contacted early about this disclosure but did not respond in any way.
Sources and references
Verified primary and authoritative sources
-
CVE-2025-10913 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2025-10913
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2025-10913 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2025-10913
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://siberguvenlik.gov.tr/guvenlik-bildirimleri/detay/tr-26-0055
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Source reference
Unverified legacy reference
URL: https://www.usom.gov.tr/bildirim/tr-26-0055
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.