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.
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applicationsA fix was pushed into the master branch but not yet published.
Affected versions of this package are vulnerable to Improper Handling of Highly Compressed Data (Data Amplification) via the TZlibTransport read paths in the C++, Java, Python, and Go bindings. An attacker can exhaust memory or trigger a denial of service by sending a small zlib-compressed payload that expands beyond the transport’s intended message-size limits during decompression. The vulnerable code reads decompressed bytes without consistently counting them against the configured maximum message size, so repeated reads through TZlibTransport can keep accepting output from a highly compressed stream even after the limit should have been exceeded. This breaks applications that rely on Thrift’s message-size enforcement to cap untrusted input before it is fully decompressed.
Notes
read() behavior of TZlibTransport; applications that only write-through or otherwise avoid reading decompressed data are not exposed through this bug.HARD_MAX_FRAME_SIZE; deployments that override those constructors may see a different effective ceiling.