Food Order 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
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8.2$0-$5k0.00

Summaryinfo

A vulnerability was found in Food Order Script 1.0. It has been classified as critical. This vulnerability affects unknown code of the file /list. Performing a manipulation of the argument city as part of Parameter results in sql injection. This vulnerability is cataloged as CVE-2017-17614. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability classified as critical has been found in Food Order Script 1.0. This affects an unknown code block of the file /list. The manipulation of the argument city as part of a Parameter leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Food Order Script 1.0 has SQL Injection via the /list city parameter.

The bug was discovered 12/13/2017. The weakness was shared 12/13/2017 (Website). It is possible to read the advisory at packetstormsecurity.com. This vulnerability is uniquely identified as CVE-2017-17614 since 12/13/2017. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details and a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

The exploit is shared for download at exploit-db.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 Exploit-DB (43281). 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

12/13/2017 🔍
12/13/2017 +0 days 🔍
12/13/2017 +0 days 🔍
12/13/2017 +0 days 🔍
12/13/2017 +0 days 🔍
09/01/2025 +2819 days 🔍

Sourcesinfo

Advisory: 145321
Status: Not defined

CVE: CVE-2017-17614 (🔍)
GCVE (CVE): GCVE-0-2017-17614
GCVE (VulDB): GCVE-100-110619
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 12/13/2017 14:16
Updated: 09/01/2025 12:34
Changes: 12/13/2017 14:16 (57), 12/14/2019 16:00 (4), 01/17/2023 19:16 (4), 09/01/2025 12:34 (18)
Complete: 🔍
Cache ID: 216::103

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

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