Common Weakness Enumeration
CWE-502
AllowedDeserialization of Untrusted Data
Abstraction: Base · Status: Draft
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
5189 vulnerabilities reference this CWE, most recent first.
CVE-2026-35537 (GCVE-0-2026-35537)
Vulnerability from cvelistv5 – Published: 2026-04-03 03:28 – Updated: 2026-04-11 14:12
VLAI
EPSS
VEX
Summary
An issue was discovered in Roundcube Webmail before 1.5.14 and 1.6.14. Unsafe deserialization in the redis/memcache session handler may lead to arbitrary file write operations by unauthenticated attackers via crafted session data.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-03 13:11 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
8 references
Impacted products
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CVE-2026-35502 (GCVE-0-2026-35502)
Vulnerability from cvelistv5 – Published: 2026-08-11 16:28 – Updated: 2026-08-12 14:34
VLAI
EPSS
VEX
Summary
Deserialization of untrusted data for some Intel(R) Extension for PyTorch before version 2.8.0 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with an unauthenticated user combined with a low complexity attack may enable escalation of privilege. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires active user interaction. The potential vulnerability may impact the confidentiality (low), integrity (low) and availability (low) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-12 14:33 UTC
CWE
- Escalation of Privilege
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | Intel(R) Extension for PyTorch |
Affected:
before version 2.8.0
|
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CVE-2026-35464 (GCVE-0-2026-35464)
Vulnerability from cvelistv5 – Published: 2026-04-07 14:38 – Updated: 2026-04-07 15:58
VLAI
EPSS
VEX
Title
pyLoad has an incomplete fix for CVE-2026-33509: unprotected storage_folder enables arbitrary file write to Flask session store and code execution
Summary
pyLoad is a free and open-source download manager written in Python. The fix for CVE-2026-33509 added an ADMIN_ONLY_OPTIONS set to block non-admin users from modifying security-critical config options. The storage_folder option is not in this set and passes the existing path restriction because the Flask session directory is outside both PKGDIR and userdir. A user with SETTINGS and ADD permissions can redirect downloads to the Flask filesystem session store, plant a malicious pickle payload as a predictable session file, and trigger arbitrary code execution when any HTTP request arrives with the corresponding session cookie. This vulnerability is fixed with commit c4cf995a2803bdbe388addfc2b0f323277efc0e1.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-07 15:12 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/pyload/pyload/security/advisor… | x_refsource_CONFIRM |
| https://github.com/pyload/pyload/security/advisor… | x_refsource_MISC |
| https://github.com/pyload/pyload/commit/c4cf995a2… | x_refsource_MISC |
| https://www.cve.org/CVERecord?id=CVE-2026-33509 | x_refsource_MISC |
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CVE-2026-35439 (GCVE-0-2026-35439)
Vulnerability from cvelistv5 – Published: 2026-05-12 16:58 – Updated: 2026-08-10 15:12
VLAI
EPSS
VEX
Title
Microsoft SharePoint Server Remote Code Execution Vulnerability
Summary
Deserialization of untrusted data in Microsoft Office SharePoint allows an authorized attacker to execute code over a network.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-07 00:00 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Microsoft SharePoint Enterprise Server 2016 |
Affected:
16.0.0 , < 16.0.5552.1002
(custom)
|
|
| Microsoft | Microsoft SharePoint Server 2019 |
Affected:
16.0.0 , < 16.0.10417.20128
(custom)
|
|
| Microsoft | Microsoft SharePoint Server Subscription Edition |
Affected:
16.0.0 , < 16.0.19725.20280
(custom)
|
Date Public
2026-05-12 14:00
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CVE-2026-35337 (GCVE-0-2026-35337)
Vulnerability from cvelistv5 – Published: 2026-04-13 09:11 – Updated: 2026-04-14 03:55
VLAI
EPSS
VEX
Title
Apache Storm Client: RCE through Unsafe Deserialization via Kerberos TGT Credential Handling
Summary
Deserialization of Untrusted Data vulnerability in Apache Storm.
Versions Affected:
before 2.8.6.
Description:
When processing topology credentials submitted via the Nimbus Thrift API, Storm deserializes the base64-encoded TGT blob using ObjectInputStream.readObject() without any class filtering or validation. An authenticated user with topology submission rights could supply a crafted serialized object in the "TGT" credential field, leading to remote code execution in both the Nimbus and Worker JVMs.
Mitigation:
2.x users should upgrade to 2.8.6.
Users who cannot upgrade immediately should monkey-patch an ObjectInputFilter allow-list to ClientAuthUtils.deserializeKerberosTicket() restricting deserialized classes to javax.security.auth.kerberos.KerberosTicket and its known dependencies. A guide on how to do this is available in the release notes of 2.8.6.
Credit: This issue was discovered by K.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-13 00:00 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
2 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache Storm Client |
Affected:
0 , < 2.8.6
(semver)
|
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CVE-2026-35171 (GCVE-0-2026-35171)
Vulnerability from cvelistv5 – Published: 2026-04-06 17:45 – Updated: 2026-04-07 15:10
VLAI
EPSS
VEX
Title
Arbitrary Code Execution via Malicious Logging Configuration in Kedro
Summary
Kedro is a toolbox for production-ready data science. Prior to 1.3.0, Kedro allows the logging configuration file path to be set via the KEDRO_LOGGING_CONFIG environment variable and loads it without validation. The logging configuration schema supports the special () key, which enables arbitrary callable instantiation. An attacker can exploit this to execute arbitrary system commands during application startup. This is a critical remote code execution (RCE) vulnerability caused by unsafe use of logging.config.dictConfig() with user-controlled input. This vulnerability is fixed in 1.3.0.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-07 15:07 UTC
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/kedro-org/kedro/security/advis… | x_refsource_CONFIRM |
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CVE-2026-34993 (GCVE-0-2026-34993)
Vulnerability from cvelistv5 – Published: 2026-06-02 18:29 – Updated: 2026-08-31 12:04
VLAI
EPSS
VEX
Title
AIOHTTP Vulnerable to Deserialization of Untrusted Data
Summary
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to version 3.14.0, using ``CookieJar.load()`` with untrusted input may allow arbitrary code execution. Most applications using this function will be doing so with the user's own data, so this is unlikely to affect many applications. Version 3.14.0 patches the issue. If an application does allow attacker controlled files to be loaded, a workaround on older releases would be to sanitize the files before loading.
Severity
6.4 (Medium)
7.2 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-03 13:59 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
20 references
Impacted products
68 products
| Vendor | Product | Version | |
|---|---|---|---|
| aio-libs | aiohttp |
Affected:
< 3.14.0
|
|
| Red Hat | Red Hat Ansible Automation Platform 2.5 for RHEL 8 |
Unaffected:
0:3.14.1-2.el8ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.5::el8 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.5 for RHEL 8 |
Unaffected:
0:4.6.32-1.el8ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.5::el8 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.5 for RHEL 9 |
Unaffected:
0:3.14.1-2.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.5::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.5 for RHEL 9 |
Unaffected:
0:4.6.32-1.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.5::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 for RHEL 9 |
Unaffected:
0:3.14.1-2.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 for RHEL 9 |
Unaffected:
0:4.7.16-1.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1787601159 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.5 |
Unaffected:
1785429657 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.5::el8 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 |
Unaffected:
1785753568 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 |
Unaffected:
1785646188 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 |
Unaffected:
1785775360 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.7 |
Unaffected:
1785376164 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.7::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.7 |
Unaffected:
1785426734 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.7::el9 |
|
| Red Hat | Red Hat Discovery 2 |
Unaffected:
1786638573 , < *
(rpm)
cpe:/a:redhat:discovery:2::el9 |
|
| Red Hat | Red Hat Migration Toolkit for Applications 8.2 |
Unaffected:
1784109883 , < *
(rpm)
cpe:/a:redhat:migration_toolkit_applications:8.2::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780078807 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780078840 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780069179 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1780069181 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1783082430 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1783024305 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1783701598 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1783091175 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782887848 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782472374 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782726504 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132167 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132207 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132237 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132240 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132286 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132236 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132163 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782132297 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1782133907 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1786635926 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787169432 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073866 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073936 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073873 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073459 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073611 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073451 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1786622543 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074331 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073913 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074078 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073929 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073605 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073546 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073717 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073713 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073593 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Exploit Intelligence |
cpe:/a:redhat:exploit_intelligence:0
|
|
| Red Hat | Lightspeed Core |
cpe:/a:redhat:lightspeed_core
|
|
| Red Hat | OpenShift Lightspeed |
cpe:/a:redhat:openshift_lightspeed
|
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
|
| Red Hat | Red Hat Ansible Automation Platform 2 |
cpe:/a:redhat:ansible_automation_platform:2
|
|
| Red Hat | Red Hat Ansible Automation Platform Ansible Core 2 |
cpe:/a:redhat:ansible_core:2
|
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3
|
|
| Red Hat | Red Hat Hardened Images |
cpe:/a:redhat:hummingbird:1
|
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
|
| Red Hat | Red Hat Satellite 6 |
cpe:/a:redhat:satellite:6
|
|
| Red Hat | Red Hat Update Infrastructure 4 for Cloud Providers |
cpe:/a:redhat:rhui:4::el8
|
{
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{
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"content": {
"id": "CVE-2026-34993",
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{
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{
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},
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},
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CVE-2026-34838 (GCVE-0-2026-34838)
Vulnerability from cvelistv5 – Published: 2026-04-02 19:15 – Updated: 2026-04-03 12:55
VLAI
EPSS
VEX
Title
Group-Office: Authenticated Remote Code Execution via PHP Insecure Deserialization in `AbstractSettingsCollection`
Summary
Group-Office is an enterprise customer relationship management and groupware tool. Prior to versions 6.8.156, 25.0.90, and 26.0.12, a vulnerability in the AbstractSettingsCollection model leads to insecure deserialization when these settings are loaded. By injecting a serialized FileCookieJar object into a setting string, an authenticated attacker can achieve Arbitrary File Write, leading directly to Remote Code Execution (RCE) on the server. This issue has been patched in versions 6.8.156, 25.0.90, and 26.0.12.
Severity
10 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-03 12:55 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/Intermesh/groupoffice/security… | x_refsource_CONFIRM |
| https://github.com/Intermesh/groupoffice/releases… | x_refsource_MISC |
| https://github.com/Intermesh/groupoffice/releases… | x_refsource_MISC |
| https://github.com/Intermesh/groupoffice/releases… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Intermesh | groupoffice |
Affected:
< 6.8.156
Affected: < 25.0.90 Affected: < 26.0.12 |
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CVE-2026-34659 (GCVE-0-2026-34659)
Vulnerability from cvelistv5 – Published: 2026-05-12 18:35 – Updated: 2026-08-27 22:24
VLAI
EPSS
VEX
Title
Adobe Connect | Deserialization of Untrusted Data (CWE-502)
Summary
Adobe Connect versions 2025.9.15, 2025.8.157 and earlier are affected by a Deserialization of Untrusted Data vulnerability that could result in arbitrary code execution in the context of the current user. An attacker could exploit this vulnerability to execute arbitrary code. Exploitation of this issue requires user interaction in that a victim must visit a maliciously crafted URL or interact with a compromised web page. Scope is changed.
Severity
9.6 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-13 03:58 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data (CWE-502)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/connect… | vendor-advisory |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | Adobe Connect |
Affected:
0 , ≤ 12.11
(semver)
Unaffected: 12.11.1 (semver) |
|
| Adobe | Adobe Connect Desktop Application |
Affected:
0 , ≤ 2025.9.15 (Win), 2025.8.157 (Mac)
(custom)
Unaffected: 2026.3.125 (Win), 2026.01.39 (Mac) (custom) |
Date Public
2026-05-12 17:00
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CVE-2026-34615 (GCVE-0-2026-34615)
Vulnerability from cvelistv5 – Published: 2026-04-14 17:33 – Updated: 2026-08-27 22:15
VLAI
EPSS
VEX
Title
Adobe Connect | Deserialization of Untrusted Data (CWE-502)
Summary
Adobe Connect versions 2025.3, 12.10 and earlier are affected by a Deserialization of Untrusted Data vulnerability that could result in arbitrary code execution in the context of the current user. An attacker could exploit this vulnerability to inject malicious scripts into a web page, potentially gaining elevated access or control over the victim's account or session. Exploitation of this issue requires user interaction in that a victim must visit a maliciously crafted URL or interact with a compromised web page. Scope is changed.
Severity
9.3 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-15 03:58 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data (CWE-502)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/connect… | vendor-advisory |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | Adobe Connect |
Affected:
0 , ≤ 12.10
(semver)
Unaffected: 12.11 (semver) |
|
| Adobe | Adobe Connect Desktop Application |
Affected:
0 , ≤ 2025.3
(custom)
Unaffected: 2025.9 (custom) |
Date Public
2026-04-14 17:00
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Mitigation
Architecture and Design
Implementation
If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
Mitigation
Implementation
When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
Mitigation
Implementation
Explicitly define a final object() to prevent deserialization.
Mitigation
Architecture and Design
Implementation
- Make fields transient to protect them from deserialization.
- An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.
Mitigation
Implementation
Avoid having unnecessary types or gadgets (a sequence of instances and method invocations that can self-execute during the deserialization process, often found in libraries) available that can be leveraged for malicious ends. This limits the potential for unintended or unauthorized types and gadgets to be leveraged by the attacker. Add only acceptable classes to an allowlist. Note: new gadgets are constantly being discovered, so this alone is not a sufficient mitigation.
Mitigation
Architecture and Design
Implementation
Employ cryptography of the data or code for protection. However, it's important to note that it would still be client-side security. This is risky because if the client is compromised then the security implemented on the client (the cryptography) can be bypassed.
Mitigation MIT-29
Operation
Strategy: Firewall
Use an application firewall that can detect attacks against this weakness. It can be beneficial in cases in which the code cannot be fixed (because it is controlled by a third party), as an emergency prevention measure while more comprehensive software assurance measures are applied, or to provide defense in depth [REF-1481].
CAPEC-586: Object Injection
An adversary attempts to exploit an application by injecting additional, malicious content during its processing of serialized objects. Developers leverage serialization in order to convert data or state into a static, binary format for saving to disk or transferring over a network. These objects are then deserialized when needed to recover the data/state. By injecting a malformed object into a vulnerable application, an adversary can potentially compromise the application by manipulating the deserialization process. This can result in a number of unwanted outcomes, including remote code execution.