CVE-2016-1261 (GCVE-0-2016-1261)
Vulnerability from cvelistv5 – Published: 2017-10-13 17:00 – Updated: 2024-09-16 23:22
VLAI
EPSS
VEX
Title
Junos: vulnerabilities in J-Web (CVE-2016-1261)
Summary
J-Web does not validate certain input that may lead to cross-site request forgery (CSRF) issues or cause a denial of J-Web service (DoS).
Severity
7.1 (High)
CWE
- failure to validate input
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://kb.juniper.net/JSA10723 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Juniper Networks | Junos OS |
Affected:
12.1X44 prior to 12.1X44-D55
Affected: 12.1X46 prior to 12.1X46-D45 Affected: 12.1X47 prior to 12.1X47-D30 Affected: 12.3 prior to 12.3R11 Affected: 12.3X48 prior to 12.3X48-D30 Affected: 13.2X51 prior to 13.2X51-D40 Affected: 13.3 prior to 13.3R8 Affected: 14.1 prior to 14.1R6 Affected: 14.1X53 prior to 14.1X53-D30 Affected: 14.2 prior to 14.2R5 Affected: 15.1 prior to 15.1R3 Affected: 15.1X49 prior to 15.1X49-D20 |
guessed |
Date Public
2016-04-13 00:00
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"matchCriteriaId": "FA7F03DC-73A2-4760-B386-2A57E9C97E65",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.1:r3:*:*:*:*:*:*",
"matchCriteriaId": "0CA10003-D52B-4110-9D7A-F50895E6BA17",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.1:r4:*:*:*:*:*:*",
"matchCriteriaId": "1B2D843A-8ADE-4888-8960-B48394DEA1D2",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.1:r5:*:*:*:*:*:*",
"matchCriteriaId": "3BE66516-A06D-4C0F-8346-DFC8865C8FE8",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.1x53:-:*:*:*:*:*:*",
"matchCriteriaId": "6FEF5DD8-B0B2-4ED2-B38F-CE870485AB8C",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.1x53:d10:*:*:*:*:*:*",
"matchCriteriaId": "09771B8F-8B2A-4E8B-B4D3-80677697FCF3",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.1x53:d15:*:*:*:*:*:*",
"matchCriteriaId": "55E2F909-E1CC-45AA-ABA9-58178B751808",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.1x53:d16:*:*:*:*:*:*",
"matchCriteriaId": "E1AA12C5-4520-4F79-80BE-66112F7AFC2A",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.1x53:d25:*:*:*:*:*:*",
"matchCriteriaId": "807C8110-5CC2-45F0-B094-BBF9C0B63BDD",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.1x53:d26:*:*:*:*:*:*",
"matchCriteriaId": "547E5737-D385-49B9-A69F-A3B185A34116",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.1x53:d27:*:*:*:*:*:*",
"matchCriteriaId": "2ED257ED-A56B-48A6-8568-65F36FFFC753",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.2:-:*:*:*:*:*:*",
"matchCriteriaId": "7887DC05-BEBE-4D7C-8F7A-C1A70237EE4F",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.2:r1:*:*:*:*:*:*",
"matchCriteriaId": "79149AA0-17D1-4522-894F-C025F7A30FD7",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:juniper:junos:14.2:r2:*:*:*:*:*:*",
"matchCriteriaId": "30726286-7CB1-4E5D-AE44-2B4D84795900",
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},
{
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"matchCriteriaId": "33BE028F-2961-414A-9D42-C4861566C2DC",
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},
{
"criteria": "cpe:2.3:o:juniper:junos:14.2:r4:*:*:*:*:*:*",
"matchCriteriaId": "E85AB30C-03FC-44DB-A8AA-B916A905CA66",
"vulnerable": true
},
{
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"matchCriteriaId": "D0D3EA8F-4D30-4383-AF2F-0FB6D822D0F3",
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},
{
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},
{
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"matchCriteriaId": "D90D8985-34EF-44CC-A9A7-CB0FD22676F2",
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}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "J-Web does not validate certain input that may lead to cross-site request forgery (CSRF) issues or cause a denial of J-Web service (DoS)."
},
{
"lang": "es",
"value": "J-Web no valida ciertas entradas que pueden pueden provocar problemas de Cross-Site Request Forgery (CSRF) o una denegaci\u00f3n del servicio J-Web (DoS)."
}
],
"id": "CVE-2016-1261",
"lastModified": "2026-05-13T00:24:29.033",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 1.2,
"impactScore": 5.9,
"source": "sirt@juniper.net",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-10-13T17:29:00.190",
"references": [
{
"source": "sirt@juniper.net",
"tags": [
"Vendor Advisory"
],
"url": "https://kb.juniper.net/JSA10723"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://kb.juniper.net/JSA10723"
}
],
"sourceIdentifier": "sirt@juniper.net",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-352"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.