SourceCodester Customer Review App 1.0 review_app.py add_review/save_review/get_all_reviews name/comment denial of service

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
3.0$0-$5k0.00

Summaryinfo

A vulnerability was found in SourceCodester Customer Review App 1.0 and classified as problematic. Affected by this issue is the function add_review/save_review/get_all_reviews of the file review_app.py. Executing a manipulation of the argument name/comment can lead to denial of service. This vulnerability appears as CVE-2026-10295. The attack requires local access. In addition, an exploit is available.

Detailsinfo

A vulnerability classified as problematic was found in SourceCodester Customer Review App 1.0. This vulnerability affects the function add_review/save_review/get_all_reviews of the file review_app.py. The manipulation of the argument name/comment with an unknown input leads to a denial of service vulnerability. The CWE definition for the vulnerability is CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. As an impact it is known to affect availability.

The advisory is shared for download at pastebin.com. This vulnerability was named CVE-2026-10295. The exploitation appears to be easy. The attack needs to be approached locally. Technical details and also a public exploit are known.

It is possible to download the exploit at pastebin.com. It is declared as proof-of-concept.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-33835). Once again VulDB remains the best source for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.3
VulDB Meta Temp Score: 3.0

VulDB Base Score: 3.3
VulDB Temp Score: 3.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Denial of service
CWE: CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: No

Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

05/31/2026 Advisory disclosed
05/31/2026 +0 days VulDB entry created
06/02/2026 +2 days VulDB entry last update

Sourcesinfo

Vendor: sourcecodester.com

Advisory: pastebin.com
Status: Not defined

CVE: CVE-2026-10295 (🔒)
GCVE (CVE): GCVE-0-2026-10295
GCVE (VulDB): GCVE-100-367588
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 05/31/2026 20:03
Updated: 06/02/2026 03:18
Changes: 05/31/2026 20:03 (57), 06/02/2026 03:18 (1)
Complete: 🔍
Submitter: ameenkbrd
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #826530: SourceCodester (razormist) Customer Review App Using Tkinter in Python 1.0 other (by ameenkbrd)

Once again VulDB remains the best source for vulnerability data.

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