Streamlit
Monthly
Hash collision vulnerability in Streamlit's caching layer (versions up to 1.53.0) allows a local low-privileged attacker to poison the application cache by supplying crafted PIL palette-mode images or large dataframes that produce identical hash digests for distinct objects. The root cause is twofold: PIL 'P'-mode (palette-indexed) images excluded palette data from the hash computation entirely, and fixed seed values (random_state=0) were used when sampling large pandas, numpy, and polars objects - both enabling deterministic hash collisions. No public exploit identified at time of analysis beyond the public disclosure of the issue. EPSS data is not available, but the CVSS 1.1 score (AV:L/AC:H/PR:L) places real-world risk as very low.
Streamlit is a data oriented application development framework for python. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, low attack complexity. This Path Traversal vulnerability could allow attackers to access files and directories outside the intended path.
Streamlit, software for turning data scripts into web applications, had a cross-site scripting (XSS) vulnerability in versions 0.63.0 through 0.80.0. Rated medium severity (CVSS 6.1), this vulnerability is remotely exploitable, no authentication required, low attack complexity.
Streamlit is a data oriented application development framework for python. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Path Traversal vulnerability could allow attackers to access files and directories outside the intended path.
Hash collision vulnerability in Streamlit's caching layer (versions up to 1.53.0) allows a local low-privileged attacker to poison the application cache by supplying crafted PIL palette-mode images or large dataframes that produce identical hash digests for distinct objects. The root cause is twofold: PIL 'P'-mode (palette-indexed) images excluded palette data from the hash computation entirely, and fixed seed values (random_state=0) were used when sampling large pandas, numpy, and polars objects - both enabling deterministic hash collisions. No public exploit identified at time of analysis beyond the public disclosure of the issue. EPSS data is not available, but the CVSS 1.1 score (AV:L/AC:H/PR:L) places real-world risk as very low.
Streamlit is a data oriented application development framework for python. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, low attack complexity. This Path Traversal vulnerability could allow attackers to access files and directories outside the intended path.
Streamlit, software for turning data scripts into web applications, had a cross-site scripting (XSS) vulnerability in versions 0.63.0 through 0.80.0. Rated medium severity (CVSS 6.1), this vulnerability is remotely exploitable, no authentication required, low attack complexity.
Streamlit is a data oriented application development framework for python. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Path Traversal vulnerability could allow attackers to access files and directories outside the intended path.