VDB-96059 · CVE-2017-5598 · BID 95836

eClinicalWorks healow@work 8.0 Build 8 EmployeePortalServlet select_loadfile Blind sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.4$0-$5k0.00

Summaryinfo

A vulnerability was found in eClinicalWorks healow@work 8.0 Build 8. It has been classified as critical. The impacted element is the function select_loadfile of the component EmployeePortalServlet. The manipulation leads to sql injection (Blind). This vulnerability is traded as CVE-2017-5598. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in eClinicalWorks healow@work 8.0 Build 8. This issue affects the function select_loadfile of the component EmployeePortalServlet. The manipulation with an unknown input leads to a sql injection vulnerability (Blind). 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:

An issue was discovered in eClinicalWorks healow@work 8.0 build 8. This is a blind SQL injection within the EmployeePortalServlet, which can be exploited by un-authenticated users via an HTTP POST request and which can be used to dump database data out to a malicious server, using an out-of-band technique, such as select_loadfile(). The vulnerability affects the EmployeePortalServlet page and the following parameter: employer.

The bug was discovered 01/27/2017. The weakness was shared 01/27/2017 by Roberto Suggi Liverani (Website). It is possible to read the advisory at gist.github.com. The identification of this vulnerability is CVE-2017-5598 since 01/27/2017. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

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 SecurityFocus (BID 95836†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.4
VulDB Meta Temp Score: 7.4

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

NVD Base Score: 7.5
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: Blind
Class: Sql injection / Blind
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

01/27/2017 🔍
01/27/2017 +0 days 🔍
01/27/2017 +0 days 🔍
01/27/2017 +0 days 🔍
01/27/2017 +0 days 🔍
01/27/2017 +0 days 🔍
08/11/2020 +1292 days 🔍

Sourcesinfo

Advisory: gist.github.com
Researcher: Roberto Suggi Liverani
Status: Not defined

CVE: CVE-2017-5598 (🔍)
GCVE (CVE): GCVE-0-2017-5598
GCVE (VulDB): GCVE-100-96059
SecurityFocus: 95836 - eClinicalWorks healow@work CVE-2017-5598 SQL Injection Vulnerability
OSVDB: - CVE-2017-5598 - eClinicalWorks - healow - SQL Injection Issue

Entryinfo

Created: 01/27/2017 13:44
Updated: 08/11/2020 16:59
Changes: 01/27/2017 13:44 (58), 08/11/2020 16:59 (6)
Complete: 🔍
Cache ID: 216:54A:103

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

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