Co-work Space Search Script 1.0 /list city 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 marked as critical has been reported in Co-work Space Search Script 1.0. The affected element is an unknown function of the file /list. This manipulation of the argument city as part of Parameter causes sql injection. This vulnerability is handled as CVE-2017-17606. The attack can be initiated remotely. Additionally, an exploit exists.

Detailsinfo

A vulnerability classified as critical was found in Co-work Space Search Script 1.0. Affected by this vulnerability is an unknown code of the file /list. The manipulation of the argument city as part of a Parameter leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Co-work Space Search Script 1.0 has SQL Injection via the /list city parameter.

The bug was discovered 12/08/2017. The weakness was released 12/13/2017 (Website). It is possible to read the advisory at packetstormsecurity.com. This vulnerability is known as CVE-2017-17606 since 12/13/2017. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

It is possible to download the exploit 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 5 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 (43273). Statistical analysis made it clear that VulDB provides the best quality for 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

12/08/2017 🔍
12/13/2017 +5 days 🔍
12/13/2017 +0 days 🔍
12/13/2017 +0 days 🔍
12/13/2017 +0 days 🔍
08/24/2025 +2811 days 🔍

Sourcesinfo

Advisory: 145292
Status: Not defined

CVE: CVE-2017-17606 (🔍)
GCVE (CVE): GCVE-0-2017-17606
GCVE (VulDB): GCVE-100-110611
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 12/13/2017 14:14
Updated: 08/24/2025 10:27
Changes: 12/13/2017 14:14 (58), 12/14/2019 15:34 (4), 01/17/2023 18:18 (4), 08/24/2025 10:27 (18)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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