FKIE_CVE-2023-28968
Vulnerability from fkie_nvd - Published: 2023-04-17 22:15 - Updated: 2026-06-17 05:49
Severity
Summary
An Improperly Controlled Sequential Memory Allocation vulnerability in the Juniper Networks Deep Packet Inspection-Decoder (JDPI-Decoder) Application Signature component of Junos OS's AppID service on SRX Series devices will stop the JDPI-Decoder from identifying dynamic application traffic, allowing an unauthenticated network-based attacker to send traffic to the target device using the JDPI-Decoder, designed to inspect dynamic application traffic and take action upon this traffic, to instead begin to not take action and to pass the traffic through. An example session can be seen by running the following command and evaluating the output. user@device# run show security flow session source-prefix <address/mask> extensive Session ID: <session ID>, Status: Normal, State: Active Policy name: <name of policy> Dynamic application: junos:UNKNOWN, <<<<< LOOK HERE Please note, the JDPI-Decoder and the AppID SigPack are both affected and both must be upgraded along with the operating system to address the matter. By default, none of this is auto-enabled for automatic updates. This issue affects: Juniper Networks any version of the JDPI-Decoder Engine prior to version 5.7.0-47 with the JDPI-Decoder enabled using any version of the AppID SigPack prior to version 1.550.2-31 (SigPack 3533) on Junos OS on SRX Series: All versions prior to 19.1R3-S10; 19.2 versions prior to 19.2R3-S7; 19.3 versions prior to 19.3R3-S8; 19.4 versions prior to 19.4R3-S11; 20.1 version 20.1R1 and later versions prior to 20.2R3-S7; 20.3 version 20.3R1 and later versions prior to 20.4R3-S6; 21.1 versions prior to 21.1R3-S5; 21.2 versions prior to 21.2R3-S4; 21.3 versions prior to 21.3R3-S3; 21.4 versions prior to 21.4R3-S3; 22.1 versions prior to 22.1R3-S1; 22.2 versions prior to 22.2R2-S1, 22.2R3; 22.3 versions prior to 22.3R1-S2, 22.3R2;
References
Impacted products
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{
"lang": "en",
"value": "An Improperly Controlled Sequential Memory Allocation vulnerability in the Juniper Networks Deep Packet Inspection-Decoder (JDPI-Decoder) Application Signature component of Junos OS\u0027s AppID service on SRX Series devices will stop the JDPI-Decoder from identifying dynamic application traffic, allowing an unauthenticated network-based attacker to send traffic to the target device using the JDPI-Decoder, designed to inspect dynamic application traffic and take action upon this traffic, to instead begin to not take action and to pass the traffic through. An example session can be seen by running the following command and evaluating the output. user@device# run show security flow session source-prefix \u003caddress/mask\u003e extensive Session ID: \u003csession ID\u003e, Status: Normal, State: Active Policy name: \u003cname of policy\u003e Dynamic application: junos:UNKNOWN, \u003c\u003c\u003c\u003c\u003c LOOK HERE Please note, the JDPI-Decoder and the AppID SigPack are both affected and both must be upgraded along with the operating system to address the matter. By default, none of this is auto-enabled for automatic updates. This issue affects: Juniper Networks any version of the JDPI-Decoder Engine prior to version 5.7.0-47 with the JDPI-Decoder enabled using any version of the AppID SigPack prior to version 1.550.2-31 (SigPack 3533) on Junos OS on SRX Series: All versions prior to 19.1R3-S10; 19.2 versions prior to 19.2R3-S7; 19.3 versions prior to 19.3R3-S8; 19.4 versions prior to 19.4R3-S11; 20.1 version 20.1R1 and later versions prior to 20.2R3-S7; 20.3 version 20.3R1 and later versions prior to 20.4R3-S6; 21.1 versions prior to 21.1R3-S5; 21.2 versions prior to 21.2R3-S4; 21.3 versions prior to 21.3R3-S3; 21.4 versions prior to 21.4R3-S3; 22.1 versions prior to 22.1R3-S1; 22.2 versions prior to 22.2R2-S1, 22.2R3; 22.3 versions prior to 22.3R1-S2, 22.3R2;"
}
],
"id": "CVE-2023-28968",
"lastModified": "2026-06-17T05:49:05.727",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "sirt@juniper.net",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2023-28968",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-02-06T14:37:20.686353Z",
"version": "2.0.3"
}
}
]
},
"published": "2023-04-17T22:15:08.960",
"references": [
{
"source": "sirt@juniper.net",
"tags": [
"Mitigation",
"Vendor Advisory"
],
"url": "https://supportportal.juniper.net/JSA70592"
},
{
"source": "sirt@juniper.net",
"tags": [
"Product"
],
"url": "https://supportportal.juniper.net/s/article/SRX-How-to-update-IDP-signature-database-automatically-on-a-SRX"
},
{
"source": "sirt@juniper.net",
"tags": [
"Release Notes"
],
"url": "https://www.juniper.net/documentation/us/en/software/jdpi/release-notes/jdpi-decoder-release-notes-october-2022/jdpi-decoder-release-notes-october-2022.pdf"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mitigation",
"Vendor Advisory"
],
"url": "https://supportportal.juniper.net/JSA70592"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product"
],
"url": "https://supportportal.juniper.net/s/article/SRX-How-to-update-IDP-signature-database-automatically-on-a-SRX"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Release Notes"
],
"url": "https://www.juniper.net/documentation/us/en/software/jdpi/release-notes/jdpi-decoder-release-notes-october-2022/jdpi-decoder-release-notes-october-2022.pdf"
}
],
"sourceIdentifier": "sirt@juniper.net",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-1325"
}
],
"source": "sirt@juniper.net",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-770"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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