CVE-2018-19351
published 2018-11-18CVE-2018-19351: Jupyter Notebook before 5.7.1 allows XSS via an untrusted notebook because nbconvert responses are considered to have the same origin as the notebook server…
PriorityP429medium6.1CVSS 3.0
AVNACLPRNUIRSCCLILAN
EPSS
1.51%
71.9th percentile
Jupyter Notebook before 5.7.1 allows XSS via an untrusted notebook because nbconvert responses are considered to have the same origin as the notebook server. In other words, nbconvert endpoints can execute JavaScript with access to the server API. In notebook/nbconvert/handlers.py, NbconvertFileHandler and NbconvertPostHandler do not set a Content Security Policy to prevent this.
Affected
3 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | jupyter-notebook | < jupyter-notebook 5.7.4-1 (bookworm) | jupyter-notebook 5.7.4-1 (bookworm) |
| jupyter | notebook | < 5.7.1 | 5.7.1 |
| jupyter | notebook | >= 0 < 5.7.1 | 5.7.1 |
CVSS provenance
nvdv3.06.1MEDIUMCVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
nvdv2.04.3MEDIUMAV:N/AC:M/Au:N/C:N/I:P/A:N
osv6.1MEDIUM
vendor_debian6.1MEDIUM
vendor_ubuntu6.1MEDIUM
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Ubuntu
Jupyter Notebook vulnerabilities
vendor_ubuntu·2022-08-30·CVSS 6.1
CVE-2022-24758 [MEDIUM] Jupyter Notebook vulnerabilities
Title: Jupyter Notebook vulnerabilities
Summary: Several security issues were fixed in Jupyter Notebook.
It was discovered that Jupyter Notebook incorrectly handled certain notebooks.
An attacker could possibly use this issue of lack of Content Security Policy
in Nbconvert to perform cross-site scripting (XSS) attacks on the notebook
server. This issue only affected Ubuntu 18.04 LTS. (CVE-2018-19351)
It was discovered that Jupyter Notebook incorrectly handled certain SVG
documents. An attacker could possibly use this issue to perform cross-site
scripting (XSS) attacks. This issue only affected Ubuntu 18.04 LTS.
(CVE-2018-21030)
It was discovered that Jupyter Notebook incorrectly filtered certain URLs on
the login page. An attacker could possibly use this issue to perform
open-redirect
Debian
CVE-2018-19351: jupyter-notebook - Jupyter Notebook before 5.7.1 allows XSS via an untrusted notebook because nbcon...
vendor_debian·2018·CVSS 6.1
CVE-2018-19351 [MEDIUM] CVE-2018-19351: jupyter-notebook - Jupyter Notebook before 5.7.1 allows XSS via an untrusted notebook because nbcon...
Jupyter Notebook before 5.7.1 allows XSS via an untrusted notebook because nbconvert responses are considered to have the same origin as the notebook server. In other words, nbconvert endpoints can execute JavaScript with access to the server API. In notebook/nbconvert/handlers.py, NbconvertFileHandler and NbconvertPostHandler do not set a Content Security Policy to prevent this.
Scope: local
bookworm: resolved (fixed in 5.7.4-1)
bullseye: resolved (fixed in 5.7.4-1)
forky: resolved (fixed in 5.7.4-1)
sid: resolved (fixed in 5.7.4-1)
trixie: resolved (fixed in 5.7.4-1)
OSV
jupyter-notebook vulnerabilities
osv·2022-08-30·CVSS 6.1
CVE-2018-19351 [MEDIUM] jupyter-notebook vulnerabilities
jupyter-notebook vulnerabilities
It was discovered that Jupyter Notebook incorrectly handled certain notebooks.
An attacker could possibly use this issue of lack of Content Security Policy
in Nbconvert to perform cross-site scripting (XSS) attacks on the notebook
server. This issue only affected Ubuntu 18.04 LTS. (CVE-2018-19351)
It was discovered that Jupyter Notebook incorrectly handled certain SVG
documents. An attacker could possibly use this issue to perform cross-site
scripting (XSS) attacks. This issue only affected Ubuntu 18.04 LTS.
(CVE-2018-21030)
It was discovered that Jupyter Notebook incorrectly filtered certain URLs on
the login page. An attacker could possibly use this issue to perform
open-redirect attack. This issue only affected Ubuntu 18.04 LTS.
(CVE-2019-10255)
It w
OSV
Jupyter Notebook XSS via untrusted notebooks
osv·2018-11-21
CVE-2018-19351 [MEDIUM] Jupyter Notebook XSS via untrusted notebooks
Jupyter Notebook XSS via untrusted notebooks
Jupyter Notebook before 5.7.1 allows XSS via an untrusted notebook because nbconvert responses are considered to have the same origin as the notebook server. In other words, nbconvert endpoints can execute JavaScript with access to the server API. In notebook/nbconvert/handlers.py, NbconvertFileHandler and NbconvertPostHandler do not set a Content Security Policy to prevent this.
GHSA
Jupyter Notebook XSS via untrusted notebooks
ghsa·2018-11-21
CVE-2018-19351 [MEDIUM] CWE-79 Jupyter Notebook XSS via untrusted notebooks
Jupyter Notebook XSS via untrusted notebooks
Jupyter Notebook before 5.7.1 allows XSS via an untrusted notebook because nbconvert responses are considered to have the same origin as the notebook server. In other words, nbconvert endpoints can execute JavaScript with access to the server API. In notebook/nbconvert/handlers.py, NbconvertFileHandler and NbconvertPostHandler do not set a Content Security Policy to prevent this.
OSV
CVE-2018-19351: Jupyter Notebook before 5
osv·2018-11-18·CVSS 6.1
CVE-2018-19351 [MEDIUM] CVE-2018-19351: Jupyter Notebook before 5
Jupyter Notebook before 5.7.1 allows XSS via an untrusted notebook because nbconvert responses are considered to have the same origin as the notebook server. In other words, nbconvert endpoints can execute JavaScript with access to the server API. In notebook/nbconvert/handlers.py, NbconvertFileHandler and NbconvertPostHandler do not set a Content Security Policy to prevent this.
No detection rules found.
No public exploits indexed.
Bugzilla
CVE-2018-19351 python-notebook: XSS via an untrusted notebook
bugzilla·2018-11-21·CVSS 6.1
CVE-2018-19351 [MEDIUM] CVE-2018-19351 python-notebook: XSS via an untrusted notebook
CVE-2018-19351 python-notebook: XSS via an untrusted notebook
Jupyter Notebook before 5.7.1 allows XSS via an untrusted notebook because nbconvert responses are considered to have the same origin as the notebook server. In other words, nbconvert endpoints can execute JavaScript with access to the server API. In notebook/nbconvert/handlers.py, NbconvertFileHandler and NbconvertPostHandler do not set a Content Security Policy to prevent this.
References:
https://github.com/jupyter/notebook/blob/master/docs/source/changelog.rst
https://github.com/jupyter/notebook/commit/107a89fce5f413fb5728c1c5d2c7788e1fb17491
https://groups.google.com/forum/#!topic/jupyter/hWzu2BSsplY
https://pypi.org/project/notebook/#history
Discussion:
Created python-notebook tracking bugs for this issue:
Affects: f
Bugzilla
CVE-2018-19351 CVE-2018-19352 python-notebook: various flaws [fedora-all]
bugzilla·2018-11-21·CVSS 6.1
CVE-2018-19351 [MEDIUM] CVE-2018-19351 CVE-2018-19352 python-notebook: various flaws [fedora-all]
CVE-2018-19351 CVE-2018-19352 python-notebook: various flaws [fedora-all]
This is an automatically created tracking bug! It was created to ensure
that one or more security vulnerabilities are fixed in affected versions
of fedora-all.
For comments that are specific to the vulnerability please use bugs filed
against the "Security Response" product referenced in the "Blocks" field.
For more information see:
http://fedoraproject.org/wiki/Security/TrackingBugs
When submitting as an update, use the fedpkg template provided in the next
comment(s). This will include the bug IDs of this tracking bug as well as
the relevant top-level CVE bugs.
Please also mention the CVE IDs being fixed in the RPM changelog and the
fedpkg commit message.
NOTE: this issue affects multiple supported versions of
arXiv
Threat Assessment in Machine Learning based Systems
arxiv_fulltext·2022-06-30
Threat Assessment in Machine Learning based Systems
Threat Assessment in Machine Learning based Systems
Lionel Nganyewou Tidjon and Foutse Khomh, Senior Member, IEEE
The authors are with Polytechnique Montréal, Montréal, QC H3C 3A7, Canada.
E-mail: \lionel.tidjon, foutse.khomh\@polymtl.ca
## Abstract
Machine learning is a field of artificial intelligence (AI) that is becoming essential for several critical systems, making it a good target for threat actors. Threat actors exploit different Tactics, Techniques, and Procedures (TTPs) against the confidentiality, integrity, and availability of Machine Learning (ML) systems.
During the ML
cycle, they exploit adversarial TTPs to poison data and fool ML-based systems. In recent years, multiple security practices have been proposed for traditional systems but they are not enough to cope with th
https://github.com/jupyter/notebook/blob/master/docs/source/changelog.rsthttps://github.com/jupyter/notebook/commit/107a89fce5f413fb5728c1c5d2c7788e1fb17491https://groups.google.com/forum/#%21topic/jupyter/hWzu2BSsplYhttps://lists.debian.org/debian-lts-announce/2020/11/msg00033.htmlhttps://pypi.org/project/notebook/#historyhttps://github.com/jupyter/notebook/blob/master/docs/source/changelog.rsthttps://github.com/jupyter/notebook/commit/107a89fce5f413fb5728c1c5d2c7788e1fb17491https://groups.google.com/forum/#%21topic/jupyter/hWzu2BSsplYhttps://lists.debian.org/debian-lts-announce/2020/11/msg00033.htmlhttps://pypi.org/project/notebook/#history
2018-11-18
Published