FKIE_CVE-2026-26234
Vulnerability from fkie_nvd - Published: 2026-02-12 04:15 - Updated: 2026-06-17 10:25
Severity
Summary
JUNG Smart Visu Server 1.1.1050 contains a request header manipulation vulnerability that allows unauthenticated attackers to override request URLs by injecting arbitrary values in the X-Forwarded-Host header. Attackers can manipulate proxied requests to generate tainted responses, enabling cache poisoning, potential phishing, and redirecting users to malicious domains.
References
| URL | Tags | ||
|---|---|---|---|
| disclosure@vulncheck.com | https://www.vulncheck.com/advisories/jung-smart-visu-server-improper-neutralization-of-http-headers-for-scripting-syntax | Third Party Advisory | |
| disclosure@vulncheck.com | https://www.zeroscience.mk/en/vulnerabilities/ZSL-2026-5970.php | Exploit, Third Party Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://www.zeroscience.mk/en/vulnerabilities/ZSL-2026-5970.php | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| jung-group | smart_visu_server_firmware | * | |
| jung-group | smart_visu_server | - |
{
"affected": [
{
"affectedData": [
{
"product": "JUNG Smart Visu Server",
"vendor": "ALBRECHT JUNG GMBH \u0026 CO. KG",
"versions": [
{
"status": "affected",
"version": "1.1.1050"
},
{
"status": "affected",
"version": "1.0.905"
},
{
"status": "affected",
"version": "1.0.832"
},
{
"status": "affected",
"version": "1.0.830"
}
]
}
],
"source": "disclosure@vulncheck.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:jung-group:smart_visu_server_firmware:*:*:*:*:*:*:*:*",
"matchCriteriaId": "6A6F6D45-15C5-4CDD-8652-51706EDD87D1",
"versionEndIncluding": "1.1.1050",
"versionStartIncluding": "1.0.830",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
},
{
"cpeMatch": [
{
"criteria": "cpe:2.3:h:jung-group:smart_visu_server:-:*:*:*:*:*:*:*",
"matchCriteriaId": "B72946C8-4DEB-44E6-A22B-21AD3AC95A93",
"vulnerable": false
}
],
"negate": false,
"operator": "OR"
}
],
"operator": "AND"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "JUNG Smart Visu Server 1.1.1050 contains a request header manipulation vulnerability that allows unauthenticated attackers to override request URLs by injecting arbitrary values in the X-Forwarded-Host header. Attackers can manipulate proxied requests to generate tainted responses, enabling cache poisoning, potential phishing, and redirecting users to malicious domains."
},
{
"lang": "es",
"value": "JUNG Smart Visu Server 1.1.1050 contiene una vulnerabilidad de manipulaci\u00f3n de encabezado de solicitud que permite a atacantes no autenticados anular URL de solicitud inyectando valores arbitrarios en el encabezado X-Forwarded-Host. Los atacantes pueden manipular solicitudes proxy para generar respuestas contaminadas, lo que permite el envenenamiento de cach\u00e9, posible phishing y redirigir a los usuarios a dominios maliciosos."
}
],
"id": "CVE-2026-26234",
"lastModified": "2026-06-17T10:25:59.227",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-26234",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-02-12T15:31:24.199585Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-02-12T04:15:47.600",
"references": [
{
"source": "disclosure@vulncheck.com",
"tags": [
"Third Party Advisory"
],
"url": "https://www.vulncheck.com/advisories/jung-smart-visu-server-improper-neutralization-of-http-headers-for-scripting-syntax"
},
{
"source": "disclosure@vulncheck.com",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2026-5970.php"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"tags": [
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],
"url": "https://www.zeroscience.mk/en/vulnerabilities/ZSL-2026-5970.php"
}
],
"sourceIdentifier": "disclosure@vulncheck.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-644"
}
],
"source": "disclosure@vulncheck.com",
"type": "Secondary"
}
]
}
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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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