einstein 1.0.1 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.
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CTI Interest Score
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3.7$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in einstein 1.0.1. This issue affects some unknown processing. This manipulation causes information disclosure. This vulnerability is registered as CVE-2005-0619. Furthermore, an exploit is available. It is advised to implement further authentication.

Detailsinfo

A vulnerability classified as problematic was found in einstein 1.0.1. Affected by this vulnerability is some unknown processing. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

einstein 1.0.1 stores sensitive information such as usernames and passwords in plaintext in the registry which allows local users to gain privileges.

The weakness was published 02/28/2005 by ATmaCA and kozan (Website). It is possible to read the advisory at milw0rm.com. This vulnerability is known as CVE-2005-0619 since 03/02/2005. The exploitation appears to be easy. Attacking locally is a requirement. The exploitation doesn't need any form of authentication. Technical details are unknown but a public exploit is available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

A public exploit has been developed by Kozan and been published even before and not after the advisory. It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept.

It is possible to mitigate the problem by adding an authentication mechanism.

The vulnerability is also documented in the databases at Exploit-DB (846), OSVDB (14212†), Secunia (SA14455†) and SecurityTracker (ID 1013316†). Similar entry is available at VDB-24026. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.0
VulDB Meta Temp Score: 3.7

VulDB Base Score: 4.0
VulDB Temp Score: 3.7
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: Partially
Local: Yes
Remote: No

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Author: Kozan
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: Authentication
Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/27/2005 🔍
02/27/2005 +0 days 🔍
02/27/2005 +0 days 🔍
02/28/2005 +0 days 🔍
02/28/2005 +0 days 🔍
02/28/2005 +0 days 🔍
03/02/2005 +2 days 🔍
03/02/2005 +0 days 🔍
03/10/2015 +3660 days 🔍
06/16/2024 +3385 days 🔍

Sourcesinfo

Advisory: milw0rm.com
Researcher: ATmaCA, kozan
Status: Confirmed

CVE: CVE-2005-0619 (🔍)
GCVE (CVE): GCVE-0-2005-0619
GCVE (VulDB): GCVE-100-23995
Secunia: 14455 - Einstein Sensitive Information Disclosure, Less Critical
OSVDB: 14212 - Einstein Registry Cleartext Password Disclosure
SecurityTracker: 1013316

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

Entryinfo

Created: 03/10/2015 15:27
Updated: 06/16/2024 01:13
Changes: 03/10/2015 15:27 (48), 07/06/2018 08:24 (16), 06/16/2024 01:13 (17)
Complete: 🔍
Cache ID: 216::103

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

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