flatCore 1.4.6 User Database sql injection

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 (≈)
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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.
7.3$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in flatCore 1.4.6. This affects an unknown function of the component User Database. The manipulation leads to sql injection. This vulnerability is traded as CVE-2017-7878. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in flatCore 1.4.6. It has been rated as problematic. This issue affects some unknown functionality of the component User Database. The manipulation with an unknown input 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. The summary by CVE is:

SQL Injection vulnerability in flatCore version 1.4.6 allows an attacker to read and write to the users database.

The bug was discovered 04/11/2017. The weakness was shared 04/14/2017 (GitHub Repository). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2017-7878 since 04/14/2017. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

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 entries VDB-99900 and VDB-99898 are related to this item. 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: 7.6
VulDB Meta Temp Score: 7.4

VulDB Base Score: 5.3
VulDB Temp Score: 4.9
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: 🔍
Status: Not defined

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

04/11/2017 🔍
04/14/2017 +3 days 🔍
04/14/2017 +0 days 🔍
04/14/2017 +0 days 🔍
04/15/2017 +1 days 🔍
11/29/2022 +2054 days 🔍

Sourcesinfo

Advisory: 29
Status: Not defined
Confirmation: 🔍

CVE: CVE-2017-7878 (🔍)
GCVE (CVE): GCVE-0-2017-7878
GCVE (VulDB): GCVE-100-99899
OSVDB: - CVE-2017-7878 - flatCore - SQL Injection Issue

See also: 🔍

Entryinfo

Created: 04/15/2017 15:33
Updated: 11/29/2022 14:27
Changes: 04/15/2017 15:33 (57), 08/31/2020 15:27 (3), 11/29/2022 14:27 (4)
Complete: 🔍
Cache ID: 216::103

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

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