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.
4795 vulnerabilities reference this CWE, most recent first.
CVE-2026-34993 (GCVE-0-2026-34993)
Vulnerability from cvelistv5 – Published: 2026-06-02 18:29 – Updated: 2026-07-15 02:47- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://github.com/aio-libs/aiohttp/security/advi… | x_refsource_CONFIRM |
| https://github.com/aio-libs/aiohttp/commit/dcf40f… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-34993 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2484099 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:24977 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:37275 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:34456 | vendor-advisoryx_refsource_REDHAT |
| Vendor | Product | Version | |
|---|---|---|---|
| aio-libs | aiohttp |
Affected:
< 3.14.0
|
|
| 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 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 | Exploit Intelligence |
cpe:/a:redhat:exploit_intelligence:0 |
|
| Red Hat | Lightspeed Core |
cpe:/a:redhat:lightspeed_core |
|
| Red Hat | Migration Toolkit for Applications 8 |
cpe:/a:redhat:migration_toolkit_applications:8 |
|
| 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 Discovery 2 |
cpe:/a:redhat:discovery:2::el9 |
|
| 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 |
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-34993",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-03T13:59:36.320581Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-06-03T14:08:22.635Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
},
{
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"product": "Red Hat OpenShift AI 2.25",
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"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
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"versionType": "rpm"
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]
},
{
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"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
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{
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}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.3::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-mlserver-rhel9",
"product": "Red Hat OpenShift AI 3.3",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1782887848",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.3::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9",
"product": "Red Hat OpenShift AI 3.3",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1782472374",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-mlserver-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1782726504",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-cuda121-torch24-py311-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1782132167",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-cuda124-torch25-py311-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1782132207",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
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"defaultStatus": "affected",
"packageName": "rhoai/odh-training-cuda128-torch28-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
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]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-cuda128-torch29-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1782132240",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-rocm62-torch24-py311-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1782132286",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-training-rocm62-torch25-py311-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
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"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.4::el9"
],
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"packageName": "rhoai/odh-training-rocm64-torch28-py312-rhel9",
"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
"versions": [
{
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"status": "unaffected",
"version": "1782132163",
"versionType": "rpm"
}
]
},
{
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"cpes": [
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],
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"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
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]
},
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"cpes": [
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}
]
},
{
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"cpes": [
"cpe:/a:redhat:exploit_intelligence:0"
],
"defaultStatus": "affected",
"packageName": "exploit-intelligence-tech-preview/vulnerability-analysis-rhel9",
"product": "Exploit Intelligence",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
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],
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"packageName": "lightspeed-core/lightspeed-stack-rhel9",
"product": "Lightspeed Core",
"vendor": "Red Hat"
},
{
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"cpes": [
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],
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"packageName": "mta/mta-solution-server-rhel9",
"product": "Migration Toolkit for Applications 8",
"vendor": "Red Hat"
},
{
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"vendor": "Red Hat"
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},
{
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"cpes": [
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"defaultStatus": "affected",
"packageName": "rhaii/model-opt-cuda-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
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"cpes": [
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"vendor": "Red Hat"
},
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"packageName": "rhaiis/vllm-cpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
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"vendor": "Red Hat"
},
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"packageName": "rhaiis/vllm-neuron-rhel9",
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},
{
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"packageName": "rhaiis/vllm-rocm-rhel9",
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},
{
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"packageName": "rhaiis/vllm-spyre-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
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},
{
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},
{
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"vendor": "Red Hat"
},
{
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"cpes": [
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"vendor": "Red Hat"
},
{
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"product": "Red Hat Ansible Automation Platform 2",
"vendor": "Red Hat"
},
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"product": "Red Hat Ansible Automation Platform 2",
"vendor": "Red Hat"
},
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"product": "Red Hat Ansible Automation Platform 2",
"vendor": "Red Hat"
},
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"product": "Red Hat Ansible Automation Platform 2",
"vendor": "Red Hat"
},
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"cpes": [
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"packageName": "ansible-automation-platform-26/ansible-dev-tools-rhel9",
"product": "Red Hat Ansible Automation Platform 2",
"vendor": "Red Hat"
},
{
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"cpes": [
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"packageName": "ansible-automation-platform-26/controller-rhel9",
"product": "Red Hat Ansible Automation Platform 2",
"vendor": "Red Hat"
},
{
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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- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://github.com/Intermesh/groupoffice/security… | x_refsource_CONFIRM |
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| 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: 2026-05-13 09:57- CWE-502 - Deserialization of Untrusted Data (CWE-502)
| URL | Tags |
|---|---|
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| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | Adobe Connect |
Affected:
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CVE-2026-34615 (GCVE-0-2026-34615)
Vulnerability from cvelistv5 – Published: 2026-04-14 17:33 – Updated: 2026-04-28 02:24- CWE-502 - Deserialization of Untrusted Data (CWE-502)
| URL | Tags |
|---|---|
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| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | Adobe Connect |
Affected:
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CVE-2026-34084 (GCVE-0-2026-34084)
Vulnerability from cvelistv5 – Published: 2026-05-05 19:22 – Updated: 2026-05-05 19:32| URL | Tags |
|---|---|
| https://github.com/PHPOffice/PhpSpreadsheet/secur… | x_refsource_CONFIRM |
| Vendor | Product | Version | |
|---|---|---|---|
| PHPOffice | PhpSpreadsheet |
Affected:
>= 4.0.0, <= 5.5.0
Affected: >= 3.3.0, <= 3.10.3 Affected: >= 2.2.0, <= 2.4.3 Affected: >= 2.0.0, <= 2.1.14 Affected: <= 1.30.2 |
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CVE-2026-33942 (GCVE-0-2026-33942)
Vulnerability from cvelistv5 – Published: 2026-03-26 00:27 – Updated: 2026-03-28 02:06- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://github.com/saloonphp/saloon/security/advi… | x_refsource_CONFIRM |
| https://docs.saloon.dev/upgrade/upgrading-from-v3-to-v4 | x_refsource_MISC |
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CVE-2026-33858 (GCVE-0-2026-33858)
Vulnerability from cvelistv5 – Published: 2026-04-13 14:36 – Updated: 2026-04-14 03:55- CWE-502 - Deserialization of Untrusted Data
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache Airflow |
Affected:
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CVE-2026-33819 (GCVE-0-2026-33819)
Vulnerability from cvelistv5 – Published: 2026-04-23 21:35 – Updated: 2026-06-19 16:07 Exclusively Hosted Service- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Microsoft Bing |
Affected:
-
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CVE-2026-33728 (GCVE-0-2026-33728)
Vulnerability from cvelistv5 – Published: 2026-03-27 00:25 – Updated: 2026-03-27 19:57- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://github.com/DataDog/dd-trace-java/security… | x_refsource_CONFIRM |
| https://github.com/DataDog/dd-trace-java/releases… | x_refsource_MISC |
| Vendor | Product | Version | |
|---|---|---|---|
| DataDog | dd-trace-java |
Affected:
>= 0.40.0, < 1.60.3
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"value": "dd-trace-java is a Datadog APM client for Java. In versions of dd-trace-java 0.40.0 through prior to 1.60.2, the RMI instrumentation registered a custom endpoint that deserialized incoming data without applying serialization filters. On JDK version 16 and earlier, an attacker with network access to a JMX or RMI port on an instrumented JVM could exploit this to potentially achieve remote code execution.\u00a0All three of the following conditions must be true to exploit this vulnerability: First, dd-trace-java is attached as a Java agent (`-javaagent`) on Java 16 or earlier. Second, a JMX/RMI port has been explicitly configured via `-Dcom.sun.management.jmxremote.port` and is network-reachable, Third, a gadget-chain-compatible library is present on the classpath. For JDK \u003e= 17, no action is required, but upgrading is strongly encouraged. For JDK \u003e= 8u121 \u003c JDK 17, upgrade to dd-trace-java version 1.60.3 or later. For JDK \u003c 8u121 and earlier where serialization filters are not available, apply the workaround. The workaround is to set the following environment variable to disable the RMI integration: `DD_INTEGRATION_RMI_ENABLED=false`."
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"title": "dd-trace-java: Unsafe deserialization in RMI instrumentation may lead to remote code execution"
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CVE-2026-33725 (GCVE-0-2026-33725)
Vulnerability from cvelistv5 – Published: 2026-03-27 00:19 – Updated: 2026-03-28 03:55- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://github.com/metabase/metabase/security/adv… | x_refsource_CONFIRM |
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Mitigation
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
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
Explicitly define a final object() to prevent deserialization.
Mitigation
- 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
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
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
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.