{"id":"PYSEC-2017-83","details":"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.","aliases":["CVE-2017-14158","GHSA-h7wm-ph43-c39p"],"modified":"2025-10-09T05:30:09.620373Z","published":"2017-09-05T17:29:00Z","references":[{"type":"REPORT","url":"https://github.com/scrapy/scrapy/issues/482"},{"type":"ARTICLE","url":"http://blog.csdn.net/wangtua/article/details/75228728"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-h7wm-ph43-c39p"}],"affected":[{"package":{"name":"scrapy","ecosystem":"PyPI","purl":"pkg:pypi/scrapy"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0.7"}]}],"versions":["0.10.4.2364","0.12.0.2550","0.14.1","0.14.2","0.14.3","0.14.4","0.16.0","0.16.1","0.16.2","0.16.3","0.16.4","0.16.5","0.18.0","0.18.1","0.18.2","0.18.3","0.18.4","0.20.0","0.20.1","0.20.2","0.22.0","0.22.1","0.22.2","0.24.0","0.24.1","0.24.2","0.24.3","0.24.4","0.24.5","0.24.6","0.7","0.8","0.9","1.0.0","1.0.0rc1","1.0.0rc2","1.0.0rc3","1.0.1","1.0.2","1.0.3","1.0.4","1.0.5","1.0.6","1.0.7","1.1.0","1.1.0rc1","1.1.0rc2","1.1.0rc3","1.1.0rc4","1.1.1","1.1.2","1.1.3","1.1.4","1.2.0","1.2.1","1.2.2","1.2.3","1.3.0","1.3.1","1.3.2","1.3.3","1.4.0","1.5.0","1.5.1","1.5.2","1.6.0","1.7.0","1.7.1","1.7.2","1.7.3","1.7.4","1.8.0","2.0.0","2.0.1","2.1.0","2.2.0","2.2.1","2.3.0","2.4.0","2.4.1","2.5.0","1.8.1","2.5.1","2.6.0","2.6.1","1.8.2","1.8.3","2.6.2","1.8.4","2.10.0","2.10.1","2.11.0","2.11.1","2.11.2","2.12.0","2.13.0","2.13.1","2.13.2","2.13.3","2.6.3","2.7.0","2.7.1","2.8.0","2.9.0"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/scrapy/PYSEC-2017-83.yaml"}}],"schema_version":"1.7.3"}