PodcastGenerator SSRF Scanner

Detects 'Server-Side-Request-Forgery (SSRF)' vulnerability in PodcastGenerator 3.2.9.

Short Info


Level

High

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

1 minute

Time Interval

2 weeks 15 hours

Scan only one

Domain, IPv4, Subdomain

Toolbox

-

PodcastGenerator is a widely used software employed by individuals and organizations for managing and generating podcast feeds. It enables users to easily upload, manage and publish their audio files as a podcast series. Its intuitive interface and comprehensive feature set make it popular among both beginners and experienced podcasters. The system is designed to handle a large number of episodes and subscribers, making it suitable for small to medium-sized podcasts. PodcastGenerator offers integration with its website or distributes episodes through various platforms. It is used by content creators to enhance their reach and engage with audiences through serialized audio content.

The Server-Side Request Forgery (SSRF) vulnerability allows an attacker to exploit server-side functionality to make requests to unintended targets. SSRF can be used to target internal systems not directly accessible from the outside. Through SSRF, an attacker can bypass network security controls and potentially access sensitive information or internal services. It may also enable malicious actors to send requests on behalf of the server, leading to unauthorized actions. SSRF vulnerabilities are significant due to their potential to access protected resources. It necessitates careful scrutiny when dealing with URL inputs or third-party connections to avoid such exploits.

The SSRF vulnerability in PodcastGenerator 3.2.9 is triggered via XML injection. By manipulating XML payloads submitted through file uploads, an attacker can craft requests that target internal systems or services. The vulnerable endpoint is the 'episodes_upload.php' page, where improperly sanitized XML tags can inject malicious data. This exploitation leverages XML structures to alter server requests, thereby initiating unintended responses or exposing data. The vulnerability primarily concerns the improper handling of XML external entity declarations. Specific crafted requests can yield responses from network-bound services or resources, breaching typical access constraints. Addressing such intrusion vectors is critical for maintaining a secure server environment.

When a Server-Side Request Forgery is exploited, it can lead to severe security repercussions for the affected application. Malicious actors could manipulate the server to perform packet redirection, shut down internal services, or scrape data from internal systems. This may expose confidential information, lead to unauthorized data access, or degrade system functionality. In scenarios where SSRF enables access to otherwise protected areas, it could facilitate further attacks or breaches. Therefore, it is vital to secure inputs thoroughly and restrict server capabilities to prevent undue external request handling. SSRF's considerable reach in security contexts necessitates proactive mitigation strategies.

REFERENCES

Get started to protecting your Free Full Security Scan