Inter7 SqWebMail up to 3.6.1 Error Message 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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5.3$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in Inter7 SqWebMail up to 3.6.1. Affected by this issue is some unknown functionality of the component Error Message Handler. Performing a manipulation results in information disclosure. This vulnerability is identified as CVE-2004-2313. There is not any exploit available.

Detailsinfo

A vulnerability classified as problematic has been found in Inter7 SqWebMail up to 3.6.1. This affects some unknown processing of the component Error Message Handler. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:

Inter7 SqWebMail 3.4.1 through 3.6.1 generates different error messages for incorrect passwords versus correct passwords on non-mail-enabled accounts (such as root), which allows remote attackers to guess the root password via brute force attacks.

The weakness was released 12/31/2004 (Website). It is possible to read the advisory at securityfocus.com. This vulnerability is uniquely identified as CVE-2004-2313 since 08/16/2005. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for 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.

The vulnerability scanner Nessus provides a plugin with the ID 254337 (Linux Distros Unpatched Vulnerability : CVE-2004-2313), which helps to determine the existence of the flaw in a target environment.

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 (15058), Tenable (254337) and SecurityFocus (BID 9541†). 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

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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Nessus ID: 254337
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2004-2313

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

01/31/2004 🔍
12/31/2004 +335 days 🔍
12/31/2004 +0 days 🔍
08/16/2005 +228 days 🔍
03/09/2015 +3492 days 🔍
08/25/2025 +3822 days 🔍

Sourcesinfo

Advisory: securityfocus.com⛔
Status: Not defined

CVE: CVE-2004-2313 (🔍)
GCVE (CVE): GCVE-0-2004-2313
GCVE (VulDB): GCVE-100-23211
X-Force: 15058 - SqWebMail login error information disclosure
SecurityFocus: 9541 - SqWebMail Authentication Response Information Leakage Weakness

Entryinfo

Created: 03/09/2015 16:19
Updated: 08/25/2025 20:02
Changes: 03/09/2015 16:19 (49), 06/28/2018 10:30 (4), 08/25/2025 20:02 (18)
Complete: 🔍
Cache ID: 216:7DD:103

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

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