EvoStream Media Server 1.7.1 HTTP Request memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.7$0-$5k0.00

Summaryinfo

A vulnerability was found in EvoStream Media Server 1.7.1. It has been classified as critical. This affects an unknown function of the component HTTP Request Handler. Performing a manipulation results in memory corruption. This vulnerability is cataloged as CVE-2017-6427. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability was found in EvoStream Media Server 1.7.1. It has been classified as critical. This affects an unknown code block of the component HTTP Request Handler. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

A Buffer Overflow was discovered in EvoStream Media Server 1.7.1. A crafted HTTP request with a malicious header will cause a crash. An example attack methodology may include a long message-body in a GET request.

The bug was discovered 03/07/2017. The weakness was shared 03/10/2017 by Peter Baris as EDB-ID 41547 as not defined exploit (Exploit-DB). The advisory is shared at exploit-db.com. This vulnerability is uniquely identified as CVE-2017-6427 since 03/02/2017. 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 are unknown but a public exploit is available.

A public exploit has been developed by Peter Baris and been published even before and not after the advisory. The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. 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 vulnerability is also documented in the databases at Exploit-DB (41547) and SecurityFocus (BID 96820†). Several companies clearly confirm that VulDB is the primary source for best 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: 7.0

VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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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: Proof-of-Concept
Author: Peter Baris
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

03/02/2017 🔍
03/07/2017 +5 days 🔍
03/07/2017 +0 days 🔍
03/07/2017 +0 days 🔍
03/07/2017 +0 days 🔍
03/10/2017 +3 days 🔍
03/10/2017 +0 days 🔍
03/10/2017 +0 days 🔍
09/05/2020 +1275 days 🔍

Sourcesinfo

Advisory: EDB-ID 41547
Researcher: Peter Baris
Status: Not defined

CVE: CVE-2017-6427 (🔍)
GCVE (CVE): GCVE-0-2017-6427
GCVE (VulDB): GCVE-100-97809
SecurityFocus: 96820 - Evostream Media Server CVE-2017-6427 Denial of Service Vulnerability
OSVDB: - CVE-2017-6427 - EvoStream - Buffer Overflow Issue

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

Entryinfo

Created: 03/10/2017 15:21
Updated: 09/05/2020 20:58
Changes: 03/10/2017 15:21 (68), 09/05/2020 20:58 (4)
Complete: 🔍
Cache ID: 216:33D:103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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