Intranet-Server LocalWEB2000 2.1.0 users.lst Password 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
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.3$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in Intranet-Server LocalWEB2000 2.1.0. This impacts an unknown function of the file users.lst. The manipulation leads to information disclosure (Password). This vulnerability is documented as CVE-2002-1353. There is not any exploit available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in Intranet-Server LocalWEB2000 2.1.0. This issue affects some unknown processing of the file users.lst. The manipulation with an unknown input leads to a information disclosure vulnerability (Password). 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:

LocalWEB2000 HTTP server 2.1.0 stores passwords in plain text under the web document root in users.lst, which allows remote attackers to obtain the passwords via a direct request to users.lst.

The weakness was released 08/29/2002 (Website). It is possible to read the advisory at idefense.com. The identification of this vulnerability is CVE-2002-1353 since 12/13/2002. The exploitation is known to be easy. 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 T1592 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 databases at X-Force (10948), Secunia (SA7740†) and SecurityTracker (ID 1005830†). 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: 5.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
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

Name: Password
Class: Information disclosure / Password
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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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

08/29/2002 🔍
08/29/2002 +0 days 🔍
12/13/2002 +106 days 🔍
12/18/2002 +5 days 🔍
12/18/2002 +0 days 🔍
07/22/2014 +4234 days 🔍
06/23/2018 +1432 days 🔍

Sourcesinfo

Advisory: idefense.com⛔
Status: Confirmed

CVE: CVE-2002-1353 (🔍)
GCVE (CVE): GCVE-0-2002-1353
GCVE (VulDB): GCVE-100-18731
X-Force: 10948 - LocalWEB2000 users.lst file stores passwords in plain text
Secunia: 7740 - LocalWEB2000 reveals passwords, Moderately Critical
SecurityTracker: 1005830

Entryinfo

Created: 07/23/2014 00:15
Updated: 06/23/2018 07:20
Changes: 07/23/2014 00:15 (51), 06/23/2018 07:20 (7)
Complete: 🔍
Cache ID: 216:6BE:103

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

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