CVE-2017-10620 (GCVE-0-2017-10620)
Vulnerability from cvelistv5 – Published: 2017-10-13 17:00 – Updated: 2024-09-16 22:15
VLAI
EPSS
VEX
Title
SRX Series: Antivirus updates are downloaded without verification
Summary
Juniper Networks Junos OS on SRX series devices do not verify the HTTPS server certificate before downloading anti-virus updates. This may allow a man-in-the-middle attacker to inject bogus signatures to cause service disruptions or make the device not detect certain types of attacks. Affected Junos OS releases are: 12.1X46 prior to 12.1X46-D71; 12.3X48 prior to 12.3X48-D55; 15.1X49 prior to 15.1X49-D110;
Severity
7.4 (High)
CWE
- insufficient verification
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://kb.juniper.net/JSA10822 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Juniper Networks | Junos OS |
Affected:
12.1X46 prior to 12.3X46-D71
Affected: 12.3X48 prior to 12.3X48-D55 Affected: 15.1X49 prior to 15.1X49-D110 |
guessed |
Date Public
2017-10-11 00:00
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{
"lang": "en",
"value": "Juniper Networks Junos OS on SRX series devices do not verify the HTTPS server certificate before downloading anti-virus updates. This may allow a man-in-the-middle attacker to inject bogus signatures to cause service disruptions or make the device not detect certain types of attacks. Affected Junos OS releases are: 12.1X46 prior to 12.1X46-D71; 12.3X48 prior to 12.3X48-D55; 15.1X49 prior to 15.1X49-D110;"
},
{
"lang": "es",
"value": "Juniper Networks Junos OS en dispositivos de la serie SRX no verifica el certificado del servidor HTTPS antes de descargar actualizaciones de antivirus. Esto puede permitir que un atacante Man-in-the-Middle (MitM) inyecte firmas falsas para causar disrupciones de servicio o hacer que el dispositivo no detecte ciertos tipos de ataques. Las distribuciones afectadas Junos OS son: 12.1X46 anteriores a 12.1X46-D71; 12.3X48 anteriores a 12.3X48-D55; 15.1X49 anteriores a 15.1X49-D110."
}
],
"id": "CVE-2017-10620",
"lastModified": "2026-05-13T00:24:29.033",
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"value": "CWE-295"
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]
}
}
}
}
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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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