blob: 638c1289373c22e518c959bb10b0568c45dedcc9 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
|
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE glsa SYSTEM "http://www.gentoo.org/dtd/glsa.dtd">
<glsa id="202301-03">
<title>scikit-learn: Denial of Service</title>
<synopsis>A vulnerability was found in scikit-learn which could result in denial of service.</synopsis>
<product type="ebuild">scikit-learn</product>
<announced>2023-01-11</announced>
<revised count="1">2023-01-11</revised>
<bug>758323</bug>
<access>remote</access>
<affected>
<package name="sci-libs/scikit-learn" auto="yes" arch="*">
<unaffected range="ge">1.1.1</unaffected>
<vulnerable range="lt">1.1.1</vulnerable>
</package>
</affected>
<background>
<p>scikit-learn is a machine learning library for Python.</p>
</background>
<description>
<p>When supplied with a crafted model SVM, predict() can result in a null pointer dereference.</p>
</description>
<impact type="low">
<p>An attcker capable of providing a crafted model to scikit-learn can result in denial of service.</p>
</impact>
<workaround>
<p>There is no known workaround at this time.</p>
</workaround>
<resolution>
<p>All scikit-learn users should upgrade to the latest version:</p>
<code>
# emerge --sync
# emerge --ask --oneshot --verbose ">=sci-libs/scikit-learn-1.1.1"
</code>
</resolution>
<references>
<uri link="https://nvd.nist.gov/vuln/detail/CVE-2020-28975">CVE-2020-28975</uri>
</references>
<metadata tag="requester" timestamp="2023-01-11T05:16:33.475780Z">ajak</metadata>
<metadata tag="submitter" timestamp="2023-01-11T05:16:33.478230Z">ajak</metadata>
</glsa>
|
