CVE-2017-14158
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.
Predictions
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
No mitigations published for this CVE yet.
The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or — if you've already worked around this in production — publish your fix to the community-verified tier.
✚ Propose a mitigation on Community → Mitigations published via the community go through AI scoring + 2 human reviewers + 7-day silent objection window before landing here withsource_tier=community-verified.
OS impact
Debian Affected 5 releases
| Version | Status | Fixed in |
|---|---|---|
| trixie | Affected | — |
| sid | Affected | — |
| forky | Affected | — |
| bullseye | Affected | — |
| bookworm | Affected | — |
Application impact
| Vendor | Product | Versions | Fixed |
|---|---|---|---|
| scrapy | scrapy | 1.4 | |
References
- http://blog.csdn.net/wangtua/article/details/75228728
- https://github.com/scrapy/scrapy/issues/482
- https://nvd.nist.gov/vuln/detail/CVE-2017-14158
- https://github.com/pypa/advisory-database/blob/8b7a4d62a95e8f605e5dfb4e0b4f299e6403dc12/vulns/scrapy/PYSEC-2017-83.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/scrapy/PYSEC-2017-83.yaml
- https://github.com/scrapy/scrapy
- https://github.com/advisories/GHSA-h7wm-ph43-c39p
- https://security-tracker.debian.org/tracker/CVE-2017-14158
CWEs
CWE-400
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.