CVE-2017-14158

highPriorität · verfolgen · 31EPSS 0.026 · 85. PerzentilEUUS
grimoire priorityP2 · Scheduled
Exploitable?
—
no known exploitation
Likely / severe?
2.60% (85th) EPSS
CVSS 7.8 · high
Is it mine?
4 products
Prüfe deine Angriffsfläche
Who says so?
4 sources
cnnvd · enisa_euvd · osv · nvd

EPSS · bewertet 2026-10-28

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.

01

cvss

Technischer Schweregrad, 0–10. Eine Zeile je Quelle.

7.8
010

Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · medium–high · 6.9–7.8

v2.07.8highAV:N/AC:L/Au:N/C:N/I:N/A:Cprimary · NVD / NIST USAusnutzbarkeit 10 · Auswirkung 6.9
v3.07.5highCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:Hprimary · NVD / NIST USAusnutzbarkeit 3.9 · Auswirkung 3.6
v3.07.5highCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:Hsecondary · OSV
v3.06.9mediumCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H/E:Usecondary · CVSS-BT (t0sche)
02

schwächen

Die CWE-Schwächeklassen, zu denen dies gehört.

03

betroffene Produkte (4)

Betroffene Produkte und Versionsbereiche.

04

Advisories (2)

Hersteller- und Ökosystem-Meldungen dazu.

  • GHSA-h7wm-ph43-c39pScrapy denial of service vulnerability2022-05-17ghsa · osvUS

    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.

  • PYSEC-2017-832017-09-05vendor · osvUS

    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.

05

auch bekannt als (6)

Weitere Namen und Kennungen dieser Entität.

06

quellen

Welche Quellen diesen Datensatz belegen und wann.

veröffentlicht 2017-09-05geändert 2026-06-17
08

Referenzen (6)

Externe Belege — Patches, Meldungen, Analysen.

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