VDB-98923 · CVE-2017-20026 · GCVE-100-98923

HumHub up to 1.0.1 Reflected cross site scripting

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4.8	$0-$5k	0.00

Summaryinfo

A vulnerability classified as problematic has been found in HumHub up to 1.0.1. Affected by this vulnerability is an unknown functionality. This manipulation causes cross site scripting (Reflected). This vulnerability appears as CVE-2017-20026. The attack may be initiated remotely. In addition, an exploit is available. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability has been found in HumHub up to 1.0.1 and classified as problematic. Affected by this vulnerability is some unknown processing. The manipulation with an unknown input leads to a cross site scripting vulnerability (Reflected). The CWE definition for the vulnerability is CWE-80. The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes special characters such as "<", ">", and "&" that could be interpreted as web-scripting elements when they are sent to a downstream component that processes web pages. As an impact it is known to affect integrity.

The weakness was presented 03/17/2017 by Tim Coen with Curesec Research Team as HumHub 1.0.1: XSS as confirmed mailinglist post (Full-Disclosure). It is possible to read the advisory at seclists.org. This vulnerability is known as CVE-2017-20026. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details are unknown but a public exploit is available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

A public exploit has been developed by Tim Coen and been published immediately after the advisory. It is possible to download the exploit at seclists.org. It is declared as proof-of-concept.

Upgrading to version 1.1.1 eliminates this vulnerability. A possible mitigation has been published even before and not after the disclosure of the vulnerability.

See VDB-98924 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

HumHub

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.9
VulDB Meta Temp Score: 4.8

VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.1
NVD Vector: 🔍

CNA Base Score: 4.3
CNA Vector (VulDB): 🔍

CVSSv2info

AV	AC	Au	C	I	A
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳

Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Researcher Base Score: 🔍
NVD Base Score: 🔍

Exploitinginfo

Name: Reflected
Class: Cross site scripting / Reflected
CWE: CWE-80 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Author: Tim Coen
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-Day	Unlock	Unlock	Unlock	Unlock
Today	Unlock	Unlock	Unlock	Unlock

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍
Exploit Delay Time: 🔍

Upgrade: HumHub 1.1.1

Timelineinfo

09/26/2016 🔍
10/01/2016 +5 days 🔍
12/01/2016 +61 days 🔍
03/17/2017 +106 days 🔍
03/17/2017 +0 days 🔍
03/28/2017 +11 days 🔍
06/05/2022 +1894 days 🔍
11/22/2022 +170 days 🔍

Sourcesinfo

Advisory: HumHub 1.0.1: XSS
Researcher: Tim Coen
Organization: Curesec Research Team
Status: Confirmed

CVE: CVE-2017-20026 (🔍)
GCVE (CVE): GCVE-0-2017-20026
GCVE (VulDB): GCVE-100-98923
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 03/28/2017 17:40
Updated: 11/22/2022 12:44
Changes: 03/28/2017 17:40 (55), 08/23/2020 09:54 (1), 06/05/2022 09:41 (3), 11/22/2022 12:37 (3), 11/22/2022 12:44 (28)
Complete: 🔍
Cache ID: 216::103

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