DiskSavvy Enterprise 9.4.18 Web Server Long GET Request memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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8.0$0-$5k0.00

Summaryinfo

A vulnerability has been found in DiskSavvy Enterprise 9.4.18 and classified as critical. Affected by this issue is some unknown functionality of the component Web Server. This manipulation as part of Long GET Request causes memory corruption. The identification of this vulnerability is CVE-2017-6187. It is possible to initiate the attack remotely. Furthermore, there is an exploit available. It is advisable to implement restrictive firewalling.

Detailsinfo

A vulnerability classified as critical was found in DiskSavvy Enterprise 9.4.18. Affected by this vulnerability is an unknown part of the component Web Server. The manipulation as part of a Long GET Request leads to a memory corruption vulnerability. The CWE definition for the vulnerability is CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Buffer overflow in the built-in web server in DiskSavvy Enterprise 9.4.18 allows remote attackers to execute arbitrary code via a long URI in a GET request.

The bug was discovered 02/22/2017. The weakness was shared 02/22/2017 by Peter Baris as EDB-ID 41436 as not defined exploit (Exploit-DB). It is possible to read the advisory at exploit-db.com. This vulnerability is known as CVE-2017-6187 since 02/22/2017. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details are unknown but a public exploit is available.

A public exploit has been developed in Python. It is possible to download the exploit at securityfocus.com. It is declared as highly functional.

Proper firewalling of is able to address this issue.

The vulnerability is also documented in the databases at Exploit-DB (41436) and SecurityFocus (BID 96401†). 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: 8.3

VulDB Base Score: 7.3
VulDB Temp Score: 6.8
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: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Highly functional
Programming Language: 🔍
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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OpenVAS ID: 801528
OpenVAS Name: Disk Savvy Enterprise Server Buffer Overflow Vulnerability
OpenVAS File: 🔍
OpenVAS Family: 🔍

Saint ID: disk_savvy_long_uri_in_get
Saint Name: Disk Savvy Enterprise long URI in GET request buffer overflow

MetaSploit ID: disksavvy_get_bof.rb
MetaSploit Name: DiskSavvy Enterprise GET Buffer Overflow
MetaSploit File: 🔍

Exploit-DB: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Firewall
Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/22/2017 🔍
02/22/2017 +0 days 🔍
02/22/2017 +0 days 🔍
02/22/2017 +0 days 🔍
02/22/2017 +0 days 🔍
02/23/2017 +1 days 🔍
08/16/2020 +1270 days 🔍

Sourcesinfo

Advisory: EDB-ID 41436
Researcher: Peter Baris
Status: Not defined

CVE: CVE-2017-6187 (🔍)
GCVE (CVE): GCVE-0-2017-6187
GCVE (VulDB): GCVE-100-97219
SecurityFocus: 96401 - Disk Savvy Enterprise CVE-2017-6187 Buffer Overflow Vulnerability
OSVDB: - CVE-2017-6187 - DiskSavvy Enterprise - Buffer Overflow Issue

scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 02/23/2017 09:45
Updated: 08/16/2020 16:18
Changes: 02/23/2017 09:45 (72), 08/16/2020 16:18 (8)
Complete: 🔍
Cache ID: 216::103

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

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