Responsive Realestate Script 3.2 tbud sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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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.
8.2$0-$5k0.00

Summaryinfo

A vulnerability was found in Responsive Realestate Script 3.2. It has been classified as critical. The affected element is an unknown function. The manipulation of the argument tbud as part of Parameter leads to sql injection. This vulnerability is listed as CVE-2017-17628. The attack may be initiated remotely. In addition, an exploit is available.

Detailsinfo

A vulnerability was found in Responsive Realestate Script 3.2 and classified as critical. This issue affects an unknown code block. The manipulation of the argument tbud as part of a Parameter leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Responsive Realestate Script 3.2 has SQL Injection via the property-list tbud parameter.

The bug was discovered 12/10/2017. The weakness was presented 12/13/2017 (Website). The advisory is shared at packetstormsecurity.com. The identification of this vulnerability is CVE-2017-17628 since 12/13/2017. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details as well as a public exploit are known. MITRE ATT&CK project uses the attack technique T1505 for this issue.

The exploit is available at exploit-db.com. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 3 days. During that time the estimated underground price was around $0-$5k.

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 Exploit-DB (43297). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.2

VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

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

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

12/10/2017 🔍
12/13/2017 +3 days 🔍
12/13/2017 +0 days 🔍
12/13/2017 +0 days 🔍
12/13/2017 +0 days 🔍
11/02/2025 +2881 days 🔍

Sourcesinfo

Advisory: 145340
Status: Not defined

CVE: CVE-2017-17628 (🔍)
GCVE (CVE): GCVE-0-2017-17628
GCVE (VulDB): GCVE-100-110633
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 12/13/2017 14:19
Updated: 11/02/2025 16:49
Changes: 12/13/2017 14:19 (57), 12/14/2019 17:21 (4), 01/18/2023 07:40 (4), 11/02/2025 16:49 (18)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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