waterline-sequel 0.50 on Node.js SQL sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.5$0-$5k0.00

Summaryinfo

A vulnerability was found in waterline-sequel 0.50 on Node.js. It has been rated as critical. This affects an unknown part. The manipulation leads to sql injection (SQL). This vulnerability is uniquely identified as CVE-2016-10551. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability, which was classified as critical, has been found in waterline-sequel 0.50 on Node.js (JavaScript Library). This issue affects an unknown function. The manipulation with an unknown input leads to a sql injection vulnerability (SQL). 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:

waterline-sequel is a module that helps generate SQL statements for Waterline apps Any user input that goes into Waterline's `like`, `contains`, `startsWith`, or `endsWith` will end up in waterline-sequel with the potential for malicious code. A malicious user can input their own SQL statements in waterline-sequel 0.50 that will get executed and have full access to the database.

The bug was discovered 10/31/2016. The weakness was disclosed 05/29/2018 (Website). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2016-10551 since 10/29/2017. 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 575 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.

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

Productinfo

Type

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

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

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
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

Name: SQL
Class: Sql injection / SQL
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

10/31/2016 🔍
10/29/2017 +363 days 🔍
05/29/2018 +211 days 🔍
05/29/2018 +0 days 🔍
05/30/2018 +1 days 🔍
03/17/2023 +1752 days 🔍

Sourcesinfo

Advisory: 1219
Status: Not defined

CVE: CVE-2016-10551 (🔍)
GCVE (CVE): GCVE-0-2016-10551
GCVE (VulDB): GCVE-100-118307

Entryinfo

Created: 05/30/2018 08:48
Updated: 03/17/2023 15:01
Changes: 05/30/2018 08:48 (57), 02/09/2020 15:27 (1), 03/17/2023 15:01 (3)
Complete: 🔍
Cache ID: 216::103

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