Etherpad up to 1.5.1 ExportEtherpad.js 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.
6.3$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in Etherpad up to 1.5.1. This vulnerability affects unknown code of the file node/utils/ExportEtherpad.js. The manipulation leads to information disclosure. This vulnerability is referenced as CVE-2015-2298. Remote exploitation of the attack is possible. No exploit is available. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in Etherpad up to 1.5.1 and classified as problematic. This issue affects some unknown functionality of the file node/utils/ExportEtherpad.js. 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:

node/utils/ExportEtherpad.js in Etherpad 1.5.x before 1.5.2 might allow remote attackers to obtain sensitive information by leveraging an improper substring check when exporting a padID.

The bug was discovered 03/14/2015. The weakness was published 01/12/2018 (oss-sec). The advisory is shared at openwall.com. The identification of this vulnerability is CVE-2015-2298 since 03/14/2015. 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 are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1592 for this issue.

The vulnerability was handled as a non-public zero-day exploit for at least 1035 days. During that time the estimated underground price was around $0-$5k.

Upgrading to version 1.5.2 eliminates this vulnerability.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.3

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

NVD Base Score: 7.5
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: 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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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Etherpad 1.5.2
Patch: github.com

Timelineinfo

03/14/2015 🔍
03/14/2015 +0 days 🔍
01/12/2018 +1035 days 🔍
01/12/2018 +0 days 🔍
01/13/2018 +1 days 🔍
01/20/2023 +1833 days 🔍

Sourcesinfo

Advisory: a0fb65205c7d7ff95f00eb9fd88e93b300f30c3d
Status: Not defined
Confirmation: 🔍

CVE: CVE-2015-2298 (🔍)
GCVE (CVE): GCVE-0-2015-2298
GCVE (VulDB): GCVE-100-111785

Entryinfo

Created: 01/13/2018 11:45
Updated: 01/20/2023 16:50
Changes: 01/13/2018 11:45 (58), 12/22/2019 15:51 (1), 01/20/2023 16:50 (6)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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