-
Notifications
You must be signed in to change notification settings - Fork 301
/
cve-list.html
569 lines (506 loc) · 26.3 KB
/
cve-list.html
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
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
<!--#include virtual="includes/_header.htm" -->
<body class="page-cve-list ">
<!--#include virtual="includes/_top.htm" -->
<div class="content">
<!--#include virtual="includes/_nav.htm" -->
<div class="right">
<h1>Apache Kafka Security Vulnerabilities</h1>
This page lists all security vulnerabilities fixed in released versions of Apache Kafka.
<h2 id="CVE-2024-56128"><a href="https://nvd.nist.gov/vuln/detail/CVE-2024-56128">CVE-2024-56128</a> SCRAM authentication vulnerable to replay attacks when used without encryption</h2>
<p>Apache Kafka's implementation of the Salted Challenge Response Authentication Mechanism (SCRAM) did not fully adhere to the requirements of RFC 5802.
Specifically, as per RFC 5802, the server must verify that the nonce sent by the client in the second message matches the nonce sent by the server in its first message.
However, Kafka's SCRAM implementation did not perform this validation.</p>
<p>This vulnerability is exploitable only when an attacker has plaintext access to the SCRAM authentication exchange. However, the usage of SCRAM over plaintext is strongly
discouraged as it is considered an insecure practice. Apache Kafka recommends deploying SCRAM exclusively with TLS encryption to protect SCRAM exchanges from interception.
Deployments using SCRAM with TLS are not affected by this issue.</p>
</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>0.10.2.0 - 3.7.1, 3.8.0</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>3.7.2, 3.8.1, 3.9.0</td>
</tr>
<tr>
<td>Impact</td>
<td>SCRAM authentication vulnerable to replay attacks when used without encryption.</td>
</tr>
<tr>
<td>Advice</td>
<td>
<ul>
<li>Users are advised to upgrade to 3.7.2 or later to mitigate this issue.</li>
<li>Users unable to upgrade to the fixed versions can mitigate the issue by using TLS with SCRAM Authentication.</li>
<li>Considering alternative authentication mechanisms such as PLAIN, Kerberos or OAuth with TLS, which provide additional layers of security</li>
</ul>
</td>
</tr>
<tr>
<td>Issue announced</td>
<td>18 Dec 2024</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2024-31141"><a href="https://nvd.nist.gov/vuln/detail/CVE-2024-31141">CVE-2024-31141</a> Files or Directories Accessible to External Parties, Improper Privilege Management vulnerability in Apache Kafka Clients</h2>
<p>Apache Kafka Clients accept configuration data for customizing behavior, and includes ConfigProvider plugins in order to manipulate these configurations. Apache Kafka also provides FileConfigProvider, DirectoryConfigProvider, and EnvVarConfigProvider implementations which include the ability to read from disk or environment variables. </p>
<p>In applications where Apache Kafka Clients configurations can be specified by an untrusted party, attackers may use these ConfigProviders to read arbitrary contents of the disk and environment variables.
In particular, this flaw may be used in Apache Kafka Connect to escalate from REST API access to filesystem/environment access, which may be undesirable in certain environments, including SaaS products.
</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>2.3.0 - 3.7.0</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>3.7.1, 3.8.0</td>
</tr>
<tr>
<td>Impact</td>
<td>Contents of disks and environment variables of applications using Kafka Clients may be leaked to untrusted parties.</td>
</tr>
<tr>
<td>Advice</td>
<td>
<ul>
<li>Users with affected applications are recommended to upgrade kafka-clients to version >=3.8.0, and set the JVM system property "org.apache.kafka.automatic.config.providers=none".</li>
<li>Users of Kafka Connect with one of the listed ConfigProvider implementations specified in their worker config are also recommended to add appropriate "allowlist.pattern" and "allowed.paths" to restrict their operation to appropriate bounds.</li>
<li>For users of Kafka Clients or Kafka Connect in environments that trust users with disk and environment variable access, it is not recommended to set the system property.</li>
<li>For users of the Kafka Broker, Kafka MirrorMaker 2.0, Kafka Streams, and Kafka command-line tools, it is not recommended to set the system property.</li>
</ul>
</td>
</tr>
<tr>
<td>Issue announced</td>
<td>18 Nov 2024</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2024-27309"><a href="https://nvd.nist.gov/vuln/detail/CVE-2024-27309">CVE-2024-27309</a> Potential incorrect access control during migration from ZK mode to KRaft mode</h2>
<p> While an Apache Kafka cluster is being migrated from ZooKeeper mode to KRaft mode, in some cases ACLs will not be correctly enforced. Two preconditions are needed to trigger the bug:
<ol>
<li>The administrator decides to remove an ACL
<li>The resource associated with the removed ACL continues to have two or more other ACLs associated with it after the removal.
</ol>
When those two preconditions are met, Kafka will treat the resource as if it had only one ACL associated with it after the removal, rather than the two or more that would be correct.
The incorrect condition is cleared by removing all brokers in ZK mode, or by adding a new ACL to the affected resource. Once the migration is completed, there is no metadata loss (the ACLs all remain).
</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>3.5.0 - 3.6.1</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>3.6.2</td>
</tr>
<tr>
<td>Impact</td>
<td>The impact depends on the ACLs in use. If only ALLOW ACLs were configured during the migration, the impact would be limited to availability impact. if DENY ACLs were configured, the impact could include confidentiality and integrity impact depending on the ACLs configured, as the DENY ACLs might be ignored due to this vulnerability during the migration period.
</td>
</tr>
<tr>
<td>Advice</td>
<td>We advise all Kafka users using ACLs to only perform ZooKeeper to KRaft migrations when using Kafka 3.6.2 or above.</td>
</tr>
<tr>
<td>Issue announced</td>
<td>12 Apr 2024</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2023-34455"><a href="https://nvd.nist.gov/vuln/detail/CVE-2023-34455">CVE-2023-34455</a> Clients using Snappy compression may cause out of memory error on brokers</h2>
<p> This CVE identifies a vulnerability in snappy-java which could be used to cause an Out-of-Memory (OOM) condition, leading to Denial-of-Service(DoS) on the Kafka broker.
The vulnerability allows any user who can producer data to the broker to exploit the vulnerability by sending a malicious payload in the record which is compressed using snappy. For more details on the vulnerability, please refer to the following
link: <a href="https://github.com/xerial/snappy-java/security/advisories/GHSA-qcwq-55hx-v3vh">snappy-java GitHub advisory.</a>
</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>0.8.0 - 3.5.0</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>3.5.1</td>
</tr>
<tr>
<td>Impact</td>
<td>This vulnerability allows any user who can produce data to the broker to exploit the vulnerability, potentially causing an Out-of-Memory (OOM) condition, leading to Denial-of-Service(DoS) on the Kafka broker. It could be exploited
by sending a malicious payload in the record which is compressed using snappy. On receiving the record, the broker will try to de-compress the record to perform record validation and
it will <a href="https://github.com/apache/kafka/blob/c97b88d5db4de28d9f51bb11fb71ddd6217c7dda/clients/src/main/java/org/apache/kafka/common/compress/SnappyFactory.java#L44">delegate decompression to snappy-java library</a>.
The vulnerability in the snappy-java library may cause allocation of an unexpected amount of heap memory, causing an OOM on the broker. Any configured quota will not be able to prevent this because a single record can exploit this vulnerability.
</td>
</tr>
<tr>
<td>Advice</td>
<td>We advise all Kafka users to promptly upgrade to a version of snappy-java (>=1.1.10.1) to mitigate this vulnerability.
The latest version (1.1.10.1, as of July 5, 2023) of snappy-java is backward compatible with all affected versions of Kafka. The affected library jar for snappy-java should be replaced with this newer version.
</td>
</tr>
<tr>
<td>Issue announced</td>
<td>5 Jul 2023</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2023-25194"><a href="https://nvd.nist.gov/vuln/detail/CVE-2023-25194">CVE-2023-25194</a> Possible RCE/Denial of service attack via SASL JAAS JndiLoginModule configuration using Apache Kafka Connect API </h2>
<p>A possible security vulnerability has been identified in Apache Kafka Connect API.
This requires access to a Kafka Connect worker, and the ability to create/modify connectors on it with an arbitrary Kafka client SASL JAAS config
and a SASL-based security protocol, which has been possible on Kafka Connect clusters since Apache Kafka 2.3.0. This will allow to perform JNDI requests
that result in Denial of service/remote code execution.
</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>Apache Kafka Connect API (<a href="https://mvnrepository.com/artifact/org.apache.kafka/connect-api">connect-api</a>,<a href="https://mvnrepository.com/artifact/org.apache.kafka/connect-runtime">connect-runtime</a>) : 2.3.0 - 3.3.2</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>Apache Kafka Connect API (<a href="https://mvnrepository.com/artifact/org.apache.kafka/connect-api">connect-api</a>,<a href="https://mvnrepository.com/artifact/org.apache.kafka/connect-runtime">connect-runtime</a>) : 3.4.0</td>
</tr>
<tr>
<td>Impact</td>
<td>When configuring the connector via the Kafka Connect REST API, an authenticated operator can set the `sasl.jaas.config`
property for any of the connector's Kafka clients to "com.sun.security.auth.module.JndiLoginModule", which can be done via the
`producer.override.sasl.jaas.config`, `consumer.override.sasl.jaas.config`, or `admin.override.sasl.jaas.config` properties.<br>
This will allow the server to connect to the attacker's LDAP server and deserialize the LDAP response, which the attacker can use
to execute java deserialization gadget chains on the Kafka connect server. Attacker can cause unrestricted deserialization of untrusted data
(or) RCE vulnerability when there are gadgets in the classpath.<br>
</td>
</tr>
<tr>
<td>Advice</td>
<td>Since Apache Kafka 3.0.0, users are allowed to specify these properties in connector configurations for Kafka Connect clusters running with out-of-the-box
configurations. Before Apache Kafka 3.0.0, users may not specify these properties unless the Kafka Connect cluster has been reconfigured with a connector
client override policy that permits them.<br>
Since Apache Kafka 3.4.0, we have added a system property ("-Dorg.apache.kafka.disallowed.login.modules") to disable the problematic login modules usage
in SASL JAAS configuration. Also by default "com.sun.security.auth.module.JndiLoginModule" is disabled in Apache Kafka 3.4.0.<br>
We advise the Kafka Connect users to validate connector configurations and only allow trusted JNDI configurations. Also examine connector dependencies for
vulnerable versions and either upgrade their connectors, upgrading that specific dependency, or removing the connectors as options for remediation. Finally,
in addition to leveraging the "org.apache.kafka.disallowed.login.modules" system property, Kafka Connect users can also implement their own connector
client config override policy, which can be used to control which Kafka client properties can be overridden directly in a connector config and which cannot.<br>
</td>
</tr>
<tr>
<td>Issue announced</td>
<td>8 Feb 2023</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2022-34917"><a href="https://nvd.nist.gov/vuln/detail/CVE-2022-34917">CVE-2022-34917</a> Unauthenticated clients may cause OutOfMemoryError on brokers </h2>
<p>This CVE identified a flaw where it allows the malicious unauthenticated clients to allocate large amounts of memory on brokers. This can lead to brokers hitting OutOfMemoryException and
causing denial of service.</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>2.8.0 - 2.8.1, 3.0.0 - 3.0.1, 3.1.0 - 3.1.1, 3.2.0 - 3.2.1</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>2.8.2, 3.0.2, 3.1.2, 3.2.3</td>
</tr>
<tr>
<td>Impact</td>
<td>Example scenarios in which attacker can cause OutOfMemoryError on brokers<br>
- Kafka cluster without authentication: Any clients able to establish
a network connection to a broker can trigger the issue.<br>
- Kafka cluster with SASL authentication: Any clients able to
establish a network connection to a broker, without the need for valid
SASL credentials, can trigger the issue.<br>
- Kafka cluster with TLS authentication: Only clients able to
successfully authenticate via TLS can trigger the issue.<br>
</td>
</tr>
<tr>
<td>Issue announced</td>
<td>19 Sep 2022</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2022-23302"><a href="https://nvd.nist.gov/vuln/detail/CVE-2022-23302">CVE-2022-23302</a> Deserialization of Untrusted Data Flaw in JMSSink of Apache Log4j logging library in versions 1.x</h2>
<p>This CVE identified a flaw where it allows the attacker to provide a TopicConnectionFactoryBindingName configuration that will cause JMSSink to perform JNDI requests that result in remote code execution in a similar fashion to CVE-2021-4104.</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>All AK versions</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>In the absence of a new log4j 1.x release, one can remove JMSSink class from the log4j-1.2.17.jar artifact.</td>
</tr>
<tr>
<td>Impact</td>
<td>When the attacker has write access to the Log4j configuration or if the configuration references an LDAP service the attacker has access to. The attacker can provide a configuration causing JMSSink to perform JNDI requests that result in remote code execution.</td>
</tr>
<tr>
<td>Issue announced</td>
<td>18 Jan 2022</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2022-23305"><a href="https://nvd.nist.gov/vuln/detail/CVE-2022-23305">CVE-2022-23305</a> SQL injection Flaw in Apache Log4j logging library in versions 1.x</h2>
<p>This CVE identified a flaw where it allows a remote attacker to run SQL statements in the database if the deployed application is configured to use JDBCAppender with certain interpolation tokens.</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>All AK versions</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>In the absence of a new log4j 1.x release, one can remove JDBCAppender class from the log4j-1.2.17.jar artifact.</td>
</tr>
<tr>
<td>Impact</td>
<td>This issue could result in a SQL injection attack when the application is configured to use JDBCAppender.</td>
</tr>
<tr>
<td>Issue announced</td>
<td>18 Jan 2022</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2022-23307"><a href="https://nvd.nist.gov/vuln/detail/CVE-2022-23307">CVE-2022-23307</a> Deserialization of Untrusted Data Flaw in Apache Log4j logging library in versions 1.x</h2>
<p>This CVE identified a flaw where it allows an attacker to send a malicious request with serialized data to the component running <code>log4j 1.x</code> to be deserialized when the chainsaw component is run. Chainsaw is a standalone GUI for viewing log entries in log4j. An attacker not only needs to be able to generate malicious log entries, but also, have the necessary access and permissions to start chainsaw (or if it is already enabled by a customer / consumer of Apache Kafka).</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>All AK versions</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>In the absence of a new log4j 1.x release, one can remove Chainsaw from the log4j-1.2.17.jar artifact.</td>
</tr>
<tr>
<td>Impact</td>
<td>When an attacker has the ability to start Chainsaw and is able to generate malicious log entries it allows deserialization of untrusted data.</td>
</tr>
<tr>
<td>Issue announced</td>
<td>18 Jan 2022</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2021-45046"><a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-45046">CVE-2021-45046</a>
Flaw in Apache Log4j logging library in versions from 2.0-beta9 through 2.12.1 and from 2.13.0 through 2.15.0</h2>
<p>Some components in Apache Kafka use <code>Log4j-v1.2.17</code> there is no dependence on <code>Log4j v2.*</code>. Check with the vendor of any connector plugin that includes a Log4J 2.x JAR file.</p>
<p>Users should NOT be impacted by this vulnerability</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>NA</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>NA</td>
</tr>
<tr>
<td>Impact</td>
<td>NA</td>
</tr>
<tr>
<td>Issue announced</td>
<td>14 Dec 2021</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2021-44228"><a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-44228">CVE-2021-44228</a>
Flaw in Apache Log4j logging library in versions from 2.0.0 and before 2.15.0</h2>
<p>Some components in Apache Kafka use <code>Log4j-v1.2.17</code> there is no dependence on <code>Log4j v2.*</code>. Check with the vendor of any connector plugin that includes a Log4J 2.x JAR file.</p>
<p><a href="https://logging.apache.org/log4j/2.x/manual/lookups.html">Lookups feature</a> was introduced in Log4j v2.x in order to allow specifying Log4j configuration parameters in arbitrary locations (even outside of the configuration files). Log4j v1.x does not offer the same functionality and thus is not vulnerable to <a href="https://access.redhat.com/security/cve/cve-2021-44228">CVE-2021-44228</a>.</p>
<p>Users should NOT be impacted by this vulnerability</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>NA</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>NA</td>
</tr>
<tr>
<td>Impact</td>
<td>NA</td>
</tr>
<tr>
<td>Issue announced</td>
<td>09 Dec 2021</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2021-4104"><a href="https://access.redhat.com/security/cve/CVE-2021-4104">CVE-2021-4104</a>
Flaw in Apache Log4j logging library in versions 1.x</h2>
<p>The following components in Apache Kafka use <code>Log4j-v1.2.17</code>: broker, controller, zookeeper, connect, mirrormaker and tools. Clients may also be configured to use <code>Log4j-v1.x</code>.</p>
<p>Version 1.x of Log4J can be configured to use JMS Appender, which publishes log events to a JMS Topic. Log4j 1.x is vulnerable if the deployed application is configured to use JMSAppender.</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>All versions</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>
In the absence of a new log4j 1.x release, one can remove JMSAppender
from the log4j-1.2.17.jar artifact. Commands are listed in the
page <a href="http://slf4j.org/log4shell.html">http://slf4j.org/log4shell.html</a>.
<br />
<br />
We also recommend that configuration files be protected against write access as stated in <a href="http://slf4j.org/log4shell.html">http://slf4j.org/log4shell.html</a>.
</td>
</tr>
<tr>
<td>Impact</td>
<td>This issue could result in a remote code execution attack when the application is configured to use JMSAppender AND the attacker has access to directly modify the TopicBindingName or TopicConnectionFactoryBindingName configuration variables in property files which is typically an unlikely exploitation scenario.</td>
</tr>
<tr>
<td>Issue announced</td>
<td>09 Dec 2021</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2021-38153"><a href="http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-38153">CVE-2021-38153</a>
Timing Attack Vulnerability for Apache Kafka Connect and Clients</h2>
<p>Some components in Apache Kafka use <code>Arrays.equals</code> to validate a password or key,
which is vulnerable to timing attacks that make brute force attacks for such credentials
more likely to be successful. Users should upgrade to 2.8.1 or higher, or 3.0.0 or higher
where this vulnerability has been fixed.</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.6.1, 2.6.2, 2.7.0, 2.7.1, 2.8.0.</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>2.6.3, 2.7.2, 2.8.1, 3.0.0 and later</td>
</tr>
<tr>
<td>Impact</td>
<td>This issue could result in privilege escalation.</td>
</tr>
<tr>
<td>Issue announced</td>
<td>21 Sep 2021</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2019-12399"><a href="http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-12399">CVE-2019-12399</a>
Apache Kafka Connect REST API may expose plaintext secrets in tasks endpoint</h2>
<p>When Connect workers in Apache Kafka 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.2.0, 2.2.1, or 2.3.0 are
configured with one or more config providers, and a connector is created/updated on
that Connect cluster to use an externalized secret variable in a substring of a
connector configuration property value (the externalized secret variable is not the
whole configuration property value), then any client can issue a request to
the same Connect cluster to obtain the connector's task configurations and
the response will contain the plaintext secret rather than the externalized secrets variable.
Users should upgrade to 2.2.2 or higher, or 2.3.1 or higher
where this vulnerability has been fixed.</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.2.0, 2.2.1, 2.3.0</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>2.2.2, 2.3.1 and later</td>
</tr>
<tr>
<td>Impact</td>
<td>This issue could result in exposing externalized connector secrets.</td>
</tr>
<tr>
<td>Issue announced</td>
<td>13 Jan 2020</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2018-17196"><a href="http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-17196">CVE-2018-17196</a>
Authenticated clients with Write permission may bypass transaction/idempotent ACL validation</h2>
<p>In Apache Kafka versions between 0.11.0.0 and 2.1.0, it is possible to manually
craft a Produce request which bypasses transaction/idempotent ACL validation.
Only authenticated clients with Write permission on the respective topics are
able to exploit this vulnerability. Users should upgrade to 2.1.1 or later
where this vulnerability has been fixed.</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>0.11.0.0 to 2.1.0</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>2.1.1 and later</td>
</tr>
<tr>
<td>Impact</td>
<td>This issue could result in privilege escalation.</td>
</tr>
<tr>
<td>Issue announced</td>
<td>10 July 2019</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2018-1288"><a href="http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-1288">CVE-2018-1288</a>
Authenticated Kafka clients may interfere with data replication</h2>
<p>Authenticated Kafka users may perform action reserved for the Broker via a manually created fetch request
interfering with data replication, resulting in data loss.</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>0.9.0.0 to 0.9.0.1, 0.10.0.0 to 0.10.2.1, 0.11.0.0 to 0.11.0.2, 1.0.0</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>0.10.2.2, 0.11.0.3, 1.0.1, 1.1.0</td>
</tr>
<tr>
<td>Impact</td>
<td>This issue could potentially lead to data loss.</td>
</tr>
<tr>
<td>Issue announced</td>
<td>26 July 2018</td>
</tr>
</tbody>
</table>
<h2 id="CVE-2017-12610"><a href="http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-12610">CVE-2017-12610</a>
Authenticated Kafka clients may impersonate other users</h2>
<p>Authenticated Kafka clients may use impersonation via a manually crafted protocol message with SASL/PLAIN or SASL/SCRAM
authentication when using the built-in PLAIN or SCRAM server implementations in Apache Kafka.</p>
<table class="data-table">
<tbody>
<tr>
<td>Versions affected</td>
<td>0.10.0.0 to 0.10.2.1, 0.11.0.0 to 0.11.0.1</td>
</tr>
<tr>
<td>Fixed versions</td>
<td>0.10.2.2, 0.11.0.2, 1.0.0</td>
</tr>
<tr>
<td>Impact</td>
<td>This issue could result in privilege escalation.</td>
</tr>
<tr>
<td>Issue announced</td>
<td>26 July 2018</td>
</tr>
</tbody>
</table>
<!--#include virtual="includes/_footer.htm" -->