G.rodola pyftpdlib 0.1 information disclosure

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
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5.1$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in G.rodola pyftpdlib 0.1. Impacted is an unknown function. The manipulation leads to information disclosure. This vulnerability is referenced as CVE-2007-6738. No exploit is available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in G.rodola pyftpdlib 0.1. It has been rated as problematic. This issue affects an unknown code. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:

pyftpdlib before 0.1.1 does not choose a random value for the port associated with the PASV command, which makes it easier for remote attackers to obtain potentially sensitive information about the number of in-progress data connections by reading the response to this command.

The weakness was published 10/19/2010 as tp://co (Website). It is possible to read the advisory at code.google.com. The identification of this vulnerability is CVE-2007-6738 since 10/19/2010. The exploitation is known to be easy. 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 T1592 according to MITRE ATT&CK.

Upgrading to version 0.1 eliminates this vulnerability.

Similar entries are available at VDB-3516, VDB-47987, VDB-47513 and VDB-50835. 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: 5.3
VulDB Meta Temp Score: 5.1

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
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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OpenVAS ID: 801618
OpenVAS Name: pyftpdlib FTP Server Information Disclosure Vulnerability
OpenVAS File: 🔍
OpenVAS Family: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: pyftpdlib 0.1

Timelineinfo

10/19/2010 🔍
10/19/2010 +0 days 🔍
10/19/2010 +0 days 🔍
03/19/2015 +1612 days 🔍
02/07/2019 +1421 days 🔍

Sourcesinfo

Advisory: tp://co
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2007-6738 (🔍)
GCVE (CVE): GCVE-0-2007-6738
GCVE (VulDB): GCVE-100-55115
See also: 🔍

Entryinfo

Created: 03/19/2015 14:37
Updated: 02/07/2019 15:58
Changes: 03/19/2015 14:37 (52), 02/07/2019 15:58 (2)
Complete: 🔍
Cache ID: 216::103

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

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