---
id: "CVE-2026-122052"
kind: "vulnerability"
aliases: ["CVE-2026-122052"]
title: "laspy: LAS file reader allows uncontrolled memory allocation remotely"
severity: "medium"
cvss: 5.3
epss: null
exploited: false
status: "open"
category: "package"
products: []
ecosystems: []
tags: ["geospatial", "laspy", "package", "python"]
not_affected_if: ["no-untrusted-las-input"]
published_at: "2026-11-05T01:17:21+00:00"
first_seen_at: "2026-11-05T01:30:51+00:00"
updated_at: "2026-11-05T01:32:10+00:00"
sources: [{"source": "nvd", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-122052", "first_seen_at": "2026-11-05T01:30:51+00:00"}]
exploit_sources: []
---

# laspy: LAS file reader allows uncontrolled memory allocation remotely

laspy, a Python library for reading LAS point-cloud files, has an uncontrolled memory allocation in its file reader up to version 2.7.0. A crafted LAS file can make a program using it allocate excessive memory, which can crash or exhaust the host.

_Summary, check and fix written by a model from the sources; labelled as such._

## How to check

- Run `pip show laspy` and compare the version against `2.7.0`
- Search project dependencies for `laspy` in `requirements.txt`, `pyproject.toml` or `poetry.lock`

## Timeline

- 2026-11-05T01:30:51+00:00 nvd https://nvd.nist.gov/vuln/detail/CVE-2026-122052

## From the sources

A vulnerability has been found in laspy up to 2.7.0. Affected by this issue is some unknown functionality of the file laspy/lasreader.py of the component LAS File Handler. The manipulation leads to uncontrolled memory allocation. Remote exploitation of the attack is possible.

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_Free to read at a human pace. An API with keys and an MCP server are in preparation; early access: hello@infrastack.ai_