CVE-2017-12852

The vulnerability lies in the numpy.pad function's lack of input validation. By supplying an empty list or NumPy array as input, an attacker can force the function into an infinite loop. This loop consumes system resources (CPU and memory) rapidly, effectively denying service to legitimate users. The impact extends to any application or script relying on NumPy for numerical computations, potentially disrupting critical workflows. While not directly leading to data exfiltration, the DoS condition can be used as a distraction technique or to disrupt operations while other malicious activities are carried out.

1. Veröffentlicht2017-08-15
2. Geändert2023-11-08
3. EPSS aktualisiert2026-04-02

The primary mitigation for CVE-2017-12852 is to upgrade NumPy to version 1.13.3 or later, which includes the necessary input validation fix. If upgrading is not immediately feasible due to compatibility concerns or system downtime constraints, consider implementing temporary workarounds. These could involve carefully scrutinizing inputs to the numpy.pad function within your application code, ensuring that empty lists or arrays are not passed. While not a complete solution, this can reduce the attack surface. Monitoring system resource usage (CPU and memory) for unusual spikes can also help detect potential exploitation attempts. After upgrading, confirm the fix by attempting to call numpy.pad with an empty list as input; it should no longer result in an infinite loop.