Apple Security Advisory 03-07-2024-7 - visionOS 1.1 addresses buffer overflow, bypass, code execution, and out of bounds read vulnerabilities.

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APPLE-SA-03-07-2024-7 visionOS 1.1

visionOS 1.1 addresses the following issues.  
Information about the security content is also available at  
https://support.apple.com/kb/HT214087.

Apple maintains a Security Releases page at  
https://support.apple.com/HT201222 which lists recent  
software updates with security advisories.

Accessibility  
Available for: Apple Vision Pro  
Impact: An app may be able to spoof system notifications and UI  
Description: This issue was addressed with additional entitlement  
checks.  
CVE-2024-23262: Guilherme Rambo of Best Buddy Apps (rambo.codes)

ImageIO  
Available for: Apple Vision Pro  
Impact: Processing an image may result in disclosure of process memory  
Description: The issue was addressed with improved memory handling.  
CVE-2024-23257: Junsung Lee working with Trend Micro Zero Day Initiative

ImageIO  
Available for: Apple Vision Pro  
Impact: Processing an image may lead to arbitrary code execution  
Description: An out-of-bounds read was addressed with improved input  
validation.  
CVE-2024-23258: Zhenjiang Zhao of pangu team and Qianxin

ImageIO  
Available for: Apple Vision Pro  
Impact: Processing an image may lead to arbitrary code execution  
Description: A buffer overflow issue was addressed with improved memory  
handling.  
CVE-2024-23286: Dohyun Lee (@l33d0hyun)

Kernel  
Available for: Apple Vision Pro  
Impact: An app may be able to access user-sensitive data  
Description: A race condition was addressed with additional validation.  
CVE-2024-23235

Kernel  
Available for: Apple Vision Pro  
Impact: An app may be able to cause unexpected system termination or  
write kernel memory  
Description: A memory corruption vulnerability was addressed with  
improved locking.  
CVE-2024-23265: Xinru Chi of Pangu Lab

Kernel  
Available for: Apple Vision Pro  
Impact: An attacker with arbitrary kernel read and write capability may  
be able to bypass kernel memory protections. Apple is aware of a report  
that this issue may have been exploited.  
Description: A memory corruption issue was addressed with improved  
validation.  
CVE-2024-23225

Metal  
Available for: Apple Vision Pro  
Impact: An application may be able to read restricted memory  
Description: A validation issue was addressed with improved input  
sanitization.  
CVE-2024-23264: Meysam Firouzi @R00tkitsmm working with Trend Micro Zero  
Day Initiative

Persona  
Available for: Apple Vision Pro  
Impact: An unauthenticated user may be able to use an unprotected  
Persona  
Description: A permissions issue was addressed to help ensure Personas  
are always protected  
CVE-2024-23295: Patrick Reardon

RTKit  
Available for: Apple Vision Pro  
Impact: An attacker with arbitrary kernel read and write capability may  
be able to bypass kernel memory protections. Apple is aware of a report  
that this issue may have been exploited.  
Description: A memory corruption issue was addressed with improved  
validation.  
CVE-2024-23296

Safari  
Available for: Apple Vision Pro  
Impact: An app may be able to fingerprint the user  
Description: The issue was addressed with improved handling of caches.  
CVE-2024-23220

UIKit  
Available for: Apple Vision Pro  
Impact: An app may be able to break out of its sandbox  
Description: This issue was addressed by removing the vulnerable code.  
CVE-2024-23246: Deutsche Telekom Security GmbH sponsored by Bundesamt  
für Sicherheit in der Informationstechnik

WebKit  
Available for: Apple Vision Pro  
Impact: Processing web content may lead to arbitrary code execution  
Description: The issue was addressed with improved memory handling.  
WebKit Bugzilla: 259694  
CVE-2024-23226: Pwn2car

WebKit  
Available for: Apple Vision Pro  
Impact: A malicious website may exfiltrate audio data cross-origin  
Description: The issue was addressed with improved UI handling.  
WebKit Bugzilla: 263795  
CVE-2024-23254: James Lee (@Windowsrcer)

WebKit  
Available for: Apple Vision Pro  
Impact: Processing maliciously crafted web content may prevent Content  
Security Policy from being enforced  
Description: A logic issue was addressed with improved validation.  
WebKit Bugzilla: 264811  
CVE-2024-23263: Johan Carlsson (joaxcar)

WebKit  
Available for: Apple Vision Pro  
Impact: Processing maliciously crafted web content may prevent Content  
Security Policy from being enforced  
Description: A logic issue was addressed with improved state management.  
WebKit Bugzilla: 267241  
CVE-2024-23284: Georg Felber and Marco Squarcina

Additional recognition

Kernel  
We would like to acknowledge Tarek Joumaa (@tjkr0wn) and 이준성(Junsung  
Lee) for their assistance.

Model I/O  
We would like to acknowledge Junsung Lee for their assistance.

Power Management  
We would like to acknowledge Pan ZhenPeng (@Peterpan0927) of STAR Labs  
SG Pte. Ltd. for their assistance.

Safari  
We would like to acknowledge Abhinav Saraswat, Matthew C, and 이동하 ( Lee  
Dong Ha of ZeroPointer Lab ) for their assistance.

WebKit  
We would like to acknowledge Valentino Dalla Valle, Pedro Bernardo,  
Marco Squarcina, and Lorenzo Veronese of TU Wien for their assistance.

Instructions on how to update visionOS are available at  
https://support.apple.com/kb/HT214009  To check the software version  
on your Apple Vision Pro, open the Settings app and choose General >  
About.  
All information is also posted on the Apple Security Releases  
web site: https://support.apple.com/en-us/HT201222.

This message is signed with Apple's Product Security PGP key,  
and details are available at:  
https://www.apple.com/support/security/pgp/  
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Apple Security Advisory 03-07-2024-7

Insufficient input validation vulnerability in subsystem for Intel(R) AMT before version 12.0.35 may allow a privileged user to potentially enable denial of service via network access.

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**Intel® CSME, Intel® SPS, Intel® TXE, Intel® DAL, and Intel® AMT 2019.1 QSR Advisory**

Intel ID:

INTEL-SA-00213

Advisory Category:

Firmware, Software

Impact of vulnerability:

Escalation of Privilege, Denial of Service, Information Disclosure

Severity rating:

HIGH

Original release:

05/14/2019

Last revised:

04/14/2020

**Summary: **

Multiple potential security vulnerabilities in Intel® Converged Security & Management Engine (Intel® CSME), Intel® Server Platform Services (Intel® SPS), Intel® Trusted Execution Engine Interface (Intel® TXE), Intel® Dynamic Application Loader (Intel® DAL), and Intel® Active Management Technology (Intel® AMT) may allow escalation of privilege, information disclosure, and/or denial of service. Intel is releasing Intel® CSME, Intel® SPS, Intel® TXE, and Intel® AMT updates to mitigate these potential vulnerabilities.

**Vulnerability Details:**

CVEID: CVE-2019-0089

Description: Improper data sanitization vulnerability in subsystem in Intel(R) SPS before versions SPS\_E5\_04.00.04.381.0, SPS\_E3\_04.01.04.054.0, SPS\_SoC-A\_04.00.04.181.0, and SPS\_SoC-X\_04.00.04.086.0 may allow a privileged user to potentially enable escalation of privilege via local access.

CVSS Base Score: 8.1 High

CVSS Vector: CVSS:3.0/AV:L/AC:L/PR:H/UI:N/S:C/C:L/I:H/A:H

CVEID: CVE-2019-0090

Description:  Insufficient access control vulnerability in subsystem for Intel(R) CSME versions 11.x, Intel(R) CSME version 12.0.35, Intel(R) TXE versions 3.x, 4.x, Intel(R) Server Platform Services versions 3.x, 4.x, before SPS\_E3\_05.01.03.094.0 may allow an unauthenticated user to potentially enable escalation of privilege via physical access.

CVSS Base Score: 7.1 High  

CVSS Vector: CVSS:3.0/AV:P/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

CVEID: CVE-2019-0086

Description: Insufficient access control vulnerability in Dynamic Application Loader software for Intel(R) CSME before versions 11.8.65, 11.11.65, 11.22.65, 12.0.35 and Intel(R) TXE 3.1.65, 4.0.15 may allow an unprivileged user to potentially enable escalation of privilege via local access.

CVSS Base Score: 7.8 High

CVSS Vector: CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

CVEID: CVE-2019-0091

Description: Code injection vulnerability in installer for Intel(R) CSME before versions 11.8.65, 11.11.65, 11.22.65, 12.0.35 and Intel(R) TXE 3.1.65, 4.0.15 may allow an unprivileged user to potentially enable escalation of privilege via local access.

CVSS Base Score: 6.6 Medium

CVSS Vector: CVSS:3.0/AV:L/AC:L/PR:L/UI:R/S:U/C:N/I:H/A:H

CVEID: CVE-2019-0092

Description: Insufficient input validation vulnerability in subsystem for Intel(R) AMT before versions 11.8.65, 11.11.65, 11.22.65, 12.0.35 may allow an unauthenticated user to potentially enable escalation of privilege via physical access.

CVSS Base Score: 6.8 Medium

CVSS Vector: CVSS:3.0/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

CVEID: CVE-2019-0093

Description: Insufficient data sanitization vulnerability in HECI subsystem for Intel(R) CSME before versions 11.8.65, 11.11.65, 11.22.65, 12.0.35 and Intel(R) SPS before version SPS\_E3\_05.01.03.094.0 may allow a privileged user to potentially enable information disclosure via local access.

CVSS Base Score: 2.3 Low

CVSS Vector: CVSS:3.0/AV:L/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N

CVEID: CVE-2019-0094

Description: Insufficient input validation vulnerability in subsystem for Intel(R) AMT before versions 11.8.65, 11.11.65, 11.22.65, 12.0.35 may allow an unauthenticated user to potentially enable denial of service via adjacent network access.

CVSS Base Score: 4.3 Medium

CVSS Vector: CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

CVEID: CVE-2019-0096

Description: Out of bound write vulnerability in subsystem for Intel(R) AMT before versions 11.8.65, 11.11.65, 11.22.65, 12.0.35 may allow an authenticated user to potentially enable escalation of privilege via adjacent network access.

CVSS Base Score: 6.7 Medium

CVSS Vector: CVSS:3.0/AV:A/AC:H/PR:L/UI:N/S:U/C:L/I:H/A:H

CVEID: CVE-2019-0097

Description: Insufficient input validation vulnerability in subsystem for Intel(R) AMT before version 12.0.35 may allow a privileged user to potentially enable denial of service via network access.

CVSS Base Score: 4.9 Medium

CVSS Vector: CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H

CVEID: CVE-2019-0098

Description: Logic bug vulnerability in subsystem for Intel(R) CSME before version 12.0.35, Intel(R) TXE before 3.1.65, 4.0.15 may allow an unauthenticated user to potentially enable escalation of privilege via physical access.

CVSS Base Score: 5.7 Medium

CVSS Vector: CVSS:3.0/AV:P/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N

CVEID: CVE-2019-0099

Description: Insufficient access control vulnerability in subsystem in Intel(R) SPS before version SPS\_E3\_05.01.03.094.0 may allow an unauthenticated user to potentially enable escalation of privilege via physical access.

CVSS Base Score: 5.7 Medium

CVSS Vector: CVSS:3.0/AV:P/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N

CVEID: CVE-2019-0153

Description: Buffer overflow in subsystem in Intel(R) CSME 12.0.0 through 12.0.34 may allow an unauthenticated user to potentially enable escalation of privilege via network access.  

CVSS Base Score: 9.0 Critical

CVSS Vector: CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

CVEID: CVE-2019-0170

Description: Buffer overflow in subsystem in Intel(R) DAL before version 12.0.35 may allow a privileged user to potentially enable escalation of privilege via local access.

CVSS Base Score: 8.2 High

CVSS Vector: CVSS:3.0/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H

**Affected Products:**

Intel® CSME before versions 11.8.65, 11.11.65, 11.22.65, 12.0.35

Intel® CSME, Intel® Active Management Technology, and Intel® DAL

Updated Intel® CSME Firmware Version

Replaces Intel® CSME Firmware Version

11.8.65

11.0 thru 11.8.60

11.11.65

11.10 thru 11.11.60

11.22.65

11.20 thru 11.22.60

12.0.35

12.0 thru 12.0.20

Intel® Server Platform Services before versions SPS\_E3\_05.01.03.094.0, SPS\_E5\_04.00.04.381.0 and SPS\_E5\_04.01.04.054.0 

Intel® Server Platform Services

Updated Intel® Server Platform Services Firmware Version

Replaces Intel® Server Platform Services Firmware Version

SPS\_E3\_05.01.03.094.0, SPS\_SoC-A\_04.00.04.181.0 and SPS\_SoC-X\_04.00.04.086.0

SPS\_E3\_05.00.00.000.0 thru SPS\_E3\_05.00.04.027.0, SPS\_SoC-A\_04.00.00.000.0 thru SPS\_SoC-A\_04.00.04.177.0

SPS\_E5\_04.00.04.381.0

SPS\_E5\_04.00.00 through SPS\_E5\_04.00.03

SPS\_E5\_04.01.04.054.0

SPS\_E5\_04.01.00 through SPS\_E5\_04.01.03

Intel® Trusted Execution Engine before TXE 3.1.65, 4.0.15

Intel® Trusted Execution Engine

Updated Intel® Trusted Execution Engine Firmware Version

Replaces Intel® Trusted Execution Engine Firmware Version

3.1.65

3.0 thru 3.1.50

4.0.15

4.0 thru 4.0.5

**Note**:  Firmware versions of Intel® ME 3.x thru 10.x, Intel® TXE 1.x thru 2.x and Intel® Server Platform Services 1.x thru 2.X are no longer supported, thus were not assessed for the vulnerabilities/CVEs listed in this Technical Advisory. There is no new release planned for these versions.

**Recommendations:**

Intel recommends that users of Intel® CSME, Intel® SPS, Intel® TXE, Intel® DAL, and Intel® AMT update to the latest version provided by the system manufacturer that addresses these issues.

Consult updated security guidance for CVE-2019-0090 published here. Additional information on this vulnerability can be found in the CVE-2019-0090 Technical Whitepaper here. 

**Acknowledgements:**

Intel would like to thank Lasse Borup (CVE-2019-0086) for reporting this issue.

CVE-2019-0090 was initially found externally by an Intel partner and subsequently reported by Positive Technologies researchers. Intel would like to thank Mark Ermolov, Dmitry Sklyarov and Maxim Goryachy from Positive Technologies for reporting this issue.

The additional issues were found internally by Intel employees. Intel would like to thank Alex Gutkin, Arie Haenel, Michael Henry, Moshe Wagner, Tikvah Katz, Yaakov Cohen and Yair Netzer.

Intel, and nearly the entire technology industry, follows a disclosure practice called Coordinated Disclosure, under which a cybersecurity vulnerability is generally publicly disclosed only after mitigations are available.

**Revision History**

Revision

Date

Description

1.0

05/14/2019  

Initial Release

1.1

05/20/2019

CVE correction

1.2

07/01/2019

Updated Affected Products

1.3

02/11/2020

Updates to CVE-2019-0090, recommendations and acknowledgements  

1.4

02/14/2020

Clarified versions in CVE-2019-0090  

1.5

03/11/2020

Updates to SPS versions in:

*   CVE-2019-0090, CVE-2019-0093, CVE-2019-0099.  
    
*   Affected products section.   
    

1.6

04/14/2020

Updates to affected SPS versions  

Updates to the recommendation; added link to the Technical whitepaper for CVE-2019-0090  

**Legal Notices and Disclaimers**

Intel provides these materials as-is, with no express or implied warranties.

All products, dates, and figures specified are preliminary based on current expectations, and are subject to change without notice.

Intel products and services described may contain design defects or errors known as errata, which may cause the product to deviate from published specifications. Current characterized errata are available on request.

Intel products that have met their End of Servicing Updates may no longer receive functional and security updates. For additional details on support and servicing, please see this help article. 

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at http://intel.com.

Some results have been estimated or simulated using internal Intel analysis or architecture simulation or modeling, and provided to you for informational purposes. Any differences in your system hardware, software or configuration may affect your actual performance.

© Intel Corporation.  Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries United States and other countries.  Other names and brands may be claimed as the property of others.

**Report a Vulnerability**

If you have information about a security issue or vulnerability with an **Intel branded product or technology**, please send an e-mail to secure@intel.com. Encrypt sensitive information using our PGP public key.

Please provide as much information as possible, including:

*   The products and versions affected
*   Detailed description of the vulnerability
*   Information on known exploits

A member of the Intel Product Security Team will review your e-mail and contact you to collaborate on resolving the issue. For more information on how Intel works to resolve security issues, see:

*   Vulnerability handling guidelines

For issues related to Intel's external web presence (Intel.com and related subdomains), please contact Intel's External Security Research team.

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Please visit Support & Downloads.

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CVE-2019-0097: INTEL-SA-00213

When using the default implementation of Verify to check a Captcha, verification can be bypassed. For example, if the first parameter is a non-existent id, the second parameter is an empty string, and the third parameter is true, the function will always consider the Captcha to be correct.

**Always incorrect control flow in github.com/mojocn/base64Captcha**

Moderate severity GitHub Reviewed Published Dec 12, 2023 to the GitHub Advisory Database • Updated Dec 12, 2023

GHSA-5mmw-p5qv-w3x5: Always incorrect control flow in github.com/mojocn/base64Captcha

Wagenius posted about hacking more than 15 telecom providers on the Telegram messaging service.

Source: Gregg Vignal via Alamy Stock Photo

NEWS BRIEF

A US Army soldier was reportedly arrested Dec. 20 in Texas and charged with two counts of unlawful transfer of confidential phone records.  

Cameron John Wagenius, 20, is suspected of leaking presidential call logs belonging to AT&T and Verizon under an online alias of "Kiberphant0m."

Wagenius was initially flagged as being involved in the Snowflake hacking campaign along with Connor Riley Moucka, also known as "Judische," who was arrested last October as part of the Snowflake account hacking.

Kiberphant0m reportedly published stolen call logs for former President Donald Trump and Vice President Kamala Harris after Moucka was arrested, as well as offered data schema from the National Security Agency, call logs from US government agencies, and a SIM-swapping Verizon service.

He also posted on Telegram about hacking more than 15 telecom providers and maintaining a distributed denial-of-service botnet.

An indictment alleges that Wagenius was involved in the sale and transmission of confidential phone records; no further details have been released regarding his connection to the Snowflake attacks.

**About the Author**

Skilled writer and editor covering cybersecurity for Dark Reading.

US Soldier Arrested in Verizon, AT&amp;T Hacks

Archery v1.7.0 to v1.8.5 was discovered to contain a SQL injection vulnerability via the checksum parameter in the report module.

\# -\*- coding: UTF-8 -\*- from django.urls import path from django.views.i18n import JavaScriptCatalog import sql.instance\_database import sql.query\_privileges import sql.sql\_optimize from common import auth, config, workflow, dashboard, check from common.twofa import totp from sql import views, sql\_workflow, sql\_analyze, query, slowlog, instance, instance\_account, db\_diagnostic, \\ resource\_group, binlog, data\_dictionary, archiver, audit\_log, user from sql.utils import tasks from common.utils import ding\_api urlpatterns \= \[ path('', views.index), path('jsi18n/', JavaScriptCatalog.as\_view(), name\='javascript-catalog'), path('index/', views.index), path('login/', views.login, name\='login'), path('login/2fa/', views.twofa, name\='twofa'), path('logout/', auth.sign\_out), path('signup/', auth.sign\_up), path('sqlworkflow/', views.sqlworkflow), path('submitsql/', views.submit\_sql), path('editsql/', views.submit\_sql), path('submitotherinstance/', views.submit\_sql), path('detail/<int:workflow\_id>/', views.detail, name\='detail'), path('autoreview/', sql\_workflow.submit), path('passed/', sql\_workflow.passed), path('execute/', sql\_workflow.execute), path('timingtask/', sql\_workflow.timing\_task), path('alter\_run\_date/', sql\_workflow.alter\_run\_date), path('cancel/', sql\_workflow.cancel), path('rollback/', views.rollback), path('sqlanalyze/', views.sqlanalyze), path('sqlquery/', views.sqlquery), path('slowquery/', views.slowquery), path('sqladvisor/', views.sqladvisor), path('slowquery\_advisor/', views.sqladvisor), path('queryapplylist/', views.queryapplylist), path('queryapplydetail/<int:apply\_id>/', views.queryapplydetail, name\='queryapplydetail'), path('queryuserprivileges/', views.queryuserprivileges), path('dbdiagnostic/', views.dbdiagnostic), path('workflow/', views.workflows), path('workflow/<int:audit\_id>/', views.workflowsdetail), path('dbaprinciples/', views.dbaprinciples), path('dashboard/', dashboard.pyecharts), path('group/', views.group), path('grouprelations/<int:group\_id>/', views.groupmgmt), path('instance/', views.instance), path('instanceaccount/', views.instanceaccount), path('database/', views.database), path('instanceparam/', views.instance\_param), path('binlog2sql/', views.binlog2sql), path('my2sql/', views.my2sql), path('schemasync/', views.schemasync), path('archive/', views.archive), path('archive/<int:id>/', views.archive\_detail, name\='archive\_detail'), path('config/', views.config), path('audit/', views.audit), path('audit\_sqlquery/', views.audit\_sqlquery), path('audit\_sqlworkflow/', views.audit\_sqlworkflow), path('authenticate/', auth.authenticate\_entry), path('sqlworkflow\_list/', sql\_workflow.sql\_workflow\_list), path('sqlworkflow\_list\_audit/', sql\_workflow.sql\_workflow\_list\_audit), path('sqlworkflow/detail\_content/', sql\_workflow.detail\_content), path('sqlworkflow/backup\_sql/', sql\_workflow.backup\_sql), path('simplecheck/', sql\_workflow.check), path('getWorkflowStatus/', sql\_workflow.get\_workflow\_status), path('del\_sqlcronjob/', tasks.del\_schedule), path('inception/osc\_control/', sql\_workflow.osc\_control), path('sql\_analyze/generate/', sql\_analyze.generate), path('sql\_analyze/analyze/', sql\_analyze.analyze), path('workflow/list/', workflow.lists), path('workflow/log/', workflow.log), path('config/change/', config.change\_config), path('check/inception/', check.inception), path('check/go\_inception/', check.go\_inception), path('check/email/', check.email), path('check/instance/', check.instance), path('group/group/', resource\_group.group), path('group/addrelation/', resource\_group.addrelation), path('group/relations/', resource\_group.associated\_objects), path('group/instances/', resource\_group.instances), path('group/unassociated/', resource\_group.unassociated\_objects), path('group/auditors/', resource\_group.auditors), path('group/changeauditors/', resource\_group.changeauditors), path('group/user\_all\_instances/', resource\_group.user\_all\_instances), path('instance/list/', instance.lists), path('instance/user/list', instance\_account.users), path('instance/user/create/', instance\_account.create), path('instance/user/edit/', instance\_account.edit), path('instance/user/grant/', instance\_account.grant), path('instance/user/reset\_pwd/', instance\_account.reset\_pwd), path('instance/user/lock/', instance\_account.lock), path('instance/user/delete/', instance\_account.delete), path('instance/database/list/', sql.instance\_database.databases), path('instance/database/create/', sql.instance\_database.create), path('instance/database/edit/', sql.instance\_database.edit), path('instance/schemasync/', instance.schemasync), path('instance/instance\_resource/', instance.instance\_resource), path('instance/describetable/', instance.describe), path('data\_dictionary/', views.data\_dictionary), path('data\_dictionary/table\_list/', data\_dictionary.table\_list), path('data\_dictionary/table\_info/', data\_dictionary.table\_info), path('data\_dictionary/export/', data\_dictionary.export), path('param/list/', instance.param\_list), path('param/history/', instance.param\_history), path('param/edit/', instance.param\_edit), path('query/', query.query), path('query/querylog/', query.querylog), path('query/querylog\_audit/', query.querylog\_audit), path('query/favorite/', query.favorite), path('query/explain/', sql.sql\_optimize.explain), path('query/applylist/', sql.query\_privileges.query\_priv\_apply\_list), path('query/userprivileges/', sql.query\_privileges.user\_query\_priv), path('query/applyforprivileges/', sql.query\_privileges.query\_priv\_apply), path('query/modifyprivileges/', sql.query\_privileges.query\_priv\_modify), path('query/privaudit/', sql.query\_privileges.query\_priv\_audit), path('binlog/list/', binlog.binlog\_list), path('binlog/binlog2sql/', binlog.binlog2sql), path('binlog/my2sql/', binlog.my2sql), path('binlog/del\_log/', binlog.del\_binlog), path('slowquery/review/', slowlog.slowquery\_review), path('slowquery/review\_history/', slowlog.slowquery\_review\_history), path('slowquery/optimize\_sqladvisor/', sql.sql\_optimize.optimize\_sqladvisor), path('slowquery/optimize\_sqltuning/', sql.sql\_optimize.optimize\_sqltuning), path('slowquery/optimize\_soar/', sql.sql\_optimize.optimize\_soar), path('slowquery/optimize\_sqltuningadvisor/', sql.sql\_optimize.optimize\_sqltuningadvisor), path('slowquery/report/', slowlog.report), path('db\_diagnostic/process/', db\_diagnostic.process), path('db\_diagnostic/create\_kill\_session/', db\_diagnostic.create\_kill\_session), path('db\_diagnostic/kill\_session/', db\_diagnostic.kill\_session), path('db\_diagnostic/tablesapce/', db\_diagnostic.tablesapce), path('db\_diagnostic/trxandlocks/', db\_diagnostic.trxandlocks), path('db\_diagnostic/innodb\_trx/', db\_diagnostic.innodb\_trx), path('archive/list/', archiver.archive\_list), path('archive/apply/', archiver.archive\_apply), path('archive/audit/', archiver.archive\_audit), path('archive/switch/', archiver.archive\_switch), path('archive/once/', archiver.archive\_once), path('archive/log/', archiver.archive\_log), path('4admin/sync\_ding\_user/', ding\_api.sync\_ding\_user), path('audit/log/', audit\_log.audit\_log), path('audit/input/', audit\_log.audit\_input), path('user/list/', user.lists), path('user/qrcode/<str:data>/', totp.generate\_qrcode), \]

CVE-2022-38538: Archery/urls.py at v1.8.5 · hhyo/Archery

Archery v1.7.5 to v1.8.5 was discovered to contain a SQL injection vulnerability via the where parameter at /archive/apply.

CVE-2022-38539: Archery/urls.py at v1.8.5 · hhyo/Archery

Archery v1.8.3 to v1.8.5 was discovered to contain multiple SQL injection vulnerabilities via the start_time and stop_time parameters in the my2sql interface.

CVE-2022-38541: Archery/urls.py at v1.8.5 · hhyo/Archery

Archery v1.4.0 to v1.8.5 was discovered to contain a SQL injection vulnerability via the ThreadIDs parameter in the create_kill_session interface.

CVE-2022-38540: Archery/urls.py at v1.8.5 · hhyo/Archery

Archery v1.4.0 to v1.8.5 was discovered to contain a SQL injection vulnerability via the ThreadIDs parameter in the kill_session interface.

CVE-2022-38542: Archery/urls.py at v1.8.5 · hhyo/Archery

Absolute Path Traversal in GitHub repository mlflow/mlflow prior to 2.5.0.

Expand Up @@ -28,6 +28,7 @@ from mlflow.environment\_variables import MLFLOW\_DISABLE\_ENV\_MANAGER\_CONDA\_WARNING from mlflow.exceptions import MlflowException from mlflow.protos.databricks\_pb2 import ErrorCode, BAD\_REQUEST from mlflow.pyfunc.backend import PyFuncBackend from mlflow.pyfunc.scoring\_server import ( CONTENT\_TYPE\_JSON, CONTENT\_TYPE\_CSV, Expand All @@ -36,6 +37,7 @@ from mlflow.utils.environment import \_mlflow\_conda\_env from mlflow.utils import env\_manager as \_EnvManager from mlflow.utils import PYTHON\_VERSION from mlflow.utils.process import ShellCommandException from tests.helper\_functions import ( pyfunc\_build\_image, pyfunc\_serve\_from\_docker\_image, Expand Down Expand Up @@ -174,7 +176,7 @@ def test\_predict(iris\_data, sk\_model): with mlflow.start\_run() as active\_run: mlflow.sklearn.log\_model(sk\_model, "model", registered\_model\_name\="impredicting") model\_uri \= f"runs:/{active\_run.info.run\_id}/model" model\_registry\_uri \= "models:/{name}/{stage}".format(name\="impredicting", stage\="None") model\_registry\_uri \= "models:/impredicting/None" input\_json\_path \= tmp.path("input.json") input\_csv\_path \= tmp.path("input.csv") output\_json\_path \= tmp.path("output.json") Expand Down Expand Up @@ -331,6 +333,173 @@ def test\_predict(iris\_data, sk\_model): assert all(expected \== actual)  
  
def test\_predict\_check\_content\_type(iris\_data, sk\_model, tmp\_path): with mlflow.start\_run(): mlflow.sklearn.log\_model(sk\_model, "model", registered\_model\_name\="impredicting") model\_registry\_uri \= "models:/impredicting/None" input\_json\_path \= tmp\_path / "input.json" input\_csv\_path \= tmp\_path / "input.csv" output\_json\_path \= tmp\_path / "output.json"  
x, \_ \= iris\_data with input\_json\_path.open("w") as f: json.dump({"dataframe\_split": pd.DataFrame(x).to\_dict(orient\="split")}, f)  
pd.DataFrame(x).to\_csv(input\_csv\_path, index\=False)  
\# Throw errors for invalid content\_type prc \= subprocess.run( \[ "mlflow", "models", "predict", "-m", model\_registry\_uri, "-i", input\_json\_path, "-o", output\_json\_path, "-t", "invalid", "--env-manager", "local", \], stdout\=subprocess.PIPE, stderr\=subprocess.PIPE, env\=env\_with\_tracking\_uri(), check\=False, ) assert prc.returncode != 0 assert "Unknown content type" in prc.stderr.decode("utf-8")  
  
def test\_predict\_check\_input\_path(iris\_data, sk\_model, tmp\_path): with mlflow.start\_run(): mlflow.sklearn.log\_model(sk\_model, "model", registered\_model\_name\="impredicting") model\_registry\_uri \= "models:/impredicting/None" input\_json\_path \= tmp\_path / "input with space.json" input\_csv\_path \= tmp\_path / "input.csv" output\_json\_path \= tmp\_path / "output.json"  
x, \_ \= iris\_data with input\_json\_path.open("w") as f: json.dump({"dataframe\_split": pd.DataFrame(x).to\_dict(orient\="split")}, f)  
pd.DataFrame(x).to\_csv(input\_csv\_path, index\=False)  
\# Valid input path with space prc \= subprocess.run( \[ "mlflow", "models", "predict", "-m", model\_registry\_uri, "-i", f"{input\_json\_path}", "-o", output\_json\_path, "--env-manager", "local", \], stdout\=subprocess.PIPE, stderr\=subprocess.PIPE, env\=env\_with\_tracking\_uri(), check\=False, text\=True, ) assert prc.returncode \== 0  
\# Throw errors for invalid input\_path prc \= subprocess.run( \[ "mlflow", "models", "predict", "-m", model\_registry\_uri, "-i", f'{input\_json\_path}"; echo ThisIsABug! "', "-o", output\_json\_path, "--env-manager", "local", \], stdout\=subprocess.PIPE, stderr\=subprocess.PIPE, env\=env\_with\_tracking\_uri(), check\=False, text\=True, ) assert prc.returncode != 0 assert "ThisIsABug!" not in prc.stdout assert "FileNotFoundError" in prc.stderr  
prc \= subprocess.run( \[ "mlflow", "models", "predict", "-m", model\_registry\_uri, "-i", f'{input\_csv\_path}"; echo ThisIsABug! "', "-o", output\_json\_path, "-t", "csv", "--env-manager", "local", \], stdout\=subprocess.PIPE, stderr\=subprocess.PIPE, env\=env\_with\_tracking\_uri(), check\=False, text\=True, ) assert prc.returncode != 0 assert "ThisIsABug!" not in prc.stdout assert "FileNotFoundError" in prc.stderr  
  
def test\_predict\_check\_output\_path(iris\_data, sk\_model, tmp\_path): with mlflow.start\_run(): mlflow.sklearn.log\_model(sk\_model, "model", registered\_model\_name\="impredicting") model\_registry\_uri \= "models:/impredicting/None" input\_json\_path \= tmp\_path / "input.json" input\_csv\_path \= tmp\_path / "input.csv" output\_json\_path \= tmp\_path / "output.json"  
x, \_ \= iris\_data with input\_json\_path.open("w") as f: json.dump({"dataframe\_split": pd.DataFrame(x).to\_dict(orient\="split")}, f)  
pd.DataFrame(x).to\_csv(input\_csv\_path, index\=False)  
prc \= subprocess.run( \[ "mlflow", "models", "predict", "-m", model\_registry\_uri, "-i", input\_json\_path, "-o", f'{output\_json\_path}"; echo ThisIsABug! "', "--env-manager", "local", \], stdout\=subprocess.PIPE, stderr\=subprocess.PIPE, env\=env\_with\_tracking\_uri(), check\=False, text\=True, ) assert prc.returncode \== 0 assert "ThisIsABug!" not in prc.stdout  
  
def test\_prepare\_env\_passes(sk\_model): if no\_conda: pytest.skip("This test requires conda.") Expand Down Expand Up @@ -574,6 +743,25 @@ def test\_env\_manager\_unsupported\_value(): )  
  
def test\_host\_invalid\_value(): class MyModel(mlflow.pyfunc.PythonModel): def predict(self, ctx, model\_input): return model\_input  
with mlflow.start\_run(): model\_info \= mlflow.pyfunc.log\_model( python\_model\=MyModel(), artifact\_path\="test\_model", registered\_model\_name\="model" )  
with mock.patch("mlflow.models.cli.get\_flavor\_backend", return\_value\=PyFuncBackend({})): with pytest.raises(ShellCommandException, match\=r"Non-zero exit code: 1"): CliRunner().invoke( models\_cli.serve, \["--model-uri", model\_info.model\_uri, "--host", "localhost & echo BUG"\], catch\_exceptions\=False, )  
  
def test\_change\_conda\_env\_root\_location(tmp\_path, sk\_model): env\_root1\_path \= tmp\_path / "root1" env\_root1\_path.mkdir() Expand Down

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