Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learningThere is no fixed version for Flask-Caching
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Flask-Caching is an Adds caching support to your Flask application
Affected versions of this package are vulnerable to Deserialization of Untrusted Data. The Flask-Caching extension for Flask relies on Pickle for serialization, which may lead to remote code execution or local privilege escalation. If an attacker gains access to cache storage (e.g., filesystem, Memcached, Redis, etc.), they can construct a crafted payload, poison the cache, and execute Python code.
Note
Exploiting this vulnerability is possible if the attacker:
Can write arbitrary values to the cache
Can generate a cache key that will collide with a value being read by the application
Can cause the application to read a maliciously-injected value