Impact
This vulnerability in Dask’s hyperloglog.py allows an attacker to cause excessive resource consumption by manipulating the nunique_approx function. The flaw is a high‑complexity flaw that can be targeted remotely, but it requires specialized input and is known to be difficult to exploit. Successful exploitation would lead to significant CPU or memory usage, potentially rendering a system unresponsive.
Affected Systems
The issue affects Dask releases up to version 3.0. The vulnerability exists in the HLL handler component, specifically the nunique_approx function. No other Dask versions are listed, and the fix is pending merge in a pending pull request.
Risk and Exploitability
The CVSS score for this bug is 2.3, indicating a low severity. EPSS information is not available, and the issue is not listed in CISA’s KEV catalog. Remote exploitation is theoretically possible, but the high complexity and known difficulty of exploitation mean that the overall risk is modest. Nonetheless, attackers could still leverage resource exhaustion to disrupt service availability if the flaw is successfully triggered.
OpenCVE Enrichment