EFS Easy Chat Server up to 3.1 registresult.htm Username memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.7$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in EFS Easy Chat Server up to 3.1. This impacts an unknown function of the file registresult.htm. Performing a manipulation of the argument Username results in memory corruption. This vulnerability was named CVE-2017-9544. The attack may be initiated remotely. In addition, an exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, was found in EFS Easy Chat Server up to 3.1 (Chat Software). This affects an unknown functionality of the file registresult.htm. The manipulation of the argument username 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:

There is a remote stack-based buffer overflow (SEH) in register.ghp in EFS Software Easy Chat Server versions 2.0 to 3.1. By sending an overly long username string to registresult.htm for registering the user, an attacker may be able to execute arbitrary code.

The bug was discovered 06/09/2017. The weakness was presented 06/12/2017 as EDB-ID 42155 as not defined exploit (Exploit-DB). It is possible to read the advisory at exploit-db.com. This vulnerability is uniquely identified as CVE-2017-9544 since 06/11/2017. 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 and a public exploit are known.

After immediately, there has been an exploit disclosed. 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. By approaching the search of inurl:registresult.htm it is possible to find vulnerable targets with Google Hacking.

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 Exploit-DB (42155). See VDB-102242 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.2

VulDB Base Score: 7.3
VulDB Temp Score: 6.6
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: Proof-of-Concept
Download: 🔍
Google Hack: 🔍

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: 🔍
Exploit Delay Time: 🔍

Timelineinfo

06/09/2017 🔍
06/11/2017 +2 days 🔍
06/12/2017 +1 days 🔍
06/12/2017 +0 days 🔍
06/12/2017 +0 days 🔍
06/12/2017 +0 days 🔍
06/12/2017 +0 days 🔍
11/25/2019 +896 days 🔍

Sourcesinfo

Advisory: EDB-ID 42155
Status: Not defined

CVE: CVE-2017-9544 (🔍)
GCVE (CVE): GCVE-0-2017-9544
GCVE (VulDB): GCVE-100-102243
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 06/12/2017 18:52
Updated: 11/25/2019 09:46
Changes: 06/12/2017 18:52 (67), 11/25/2019 09:46 (1)
Complete: 🔍
Cache ID: 216::103

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

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