CVE-2026-7861 (GCVE-0-2026-7861)
Vulnerability from cvelistv5 – Published: 2026-09-07 14:19 – Updated: 2026-09-07 14:19
VLAI
EPSS
VEX
Title
Code Injection in Next4Biz's CSM (Customer Service Management)
Summary
Deserialization of untrusted data vulnerability in Next4Biz Information Technologies Inc. CSM (Customer Service Management) allows Code Injection.
This issue affects CSM (Customer Service Management): through 07092026. NOTE: The vendor was contacted early about this disclosure but did not respond in any way.
Severity
9.8 (Critical)
CWE
- CWE-502 - Deserialization of untrusted data
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://siberguvenlik.gov.tr/guvenlik-bildirimler… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Next4Biz Information Technologies Inc. | CSM (Customer Service Management) |
Affected:
0 , ≤ 07092026
(custom)
|
guessed |
Date Public
2026-09-07 14:16
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"cna": {
"affected": [
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"defaultStatus": "unknown",
"product": "CSM (Customer Service Management)",
"vendor": "Next4Biz Information Technologies Inc.",
"versions": [
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"lessThanOrEqual": "07092026",
"status": "affected",
"version": "0",
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}
]
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"credits": [
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"lang": "en",
"type": "finder",
"value": "Batuhan ER"
}
],
"datePublic": "2026-09-07T14:16:00.000Z",
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}
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}
],
"impacts": [
{
"capecId": "CAPEC-242",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-242 Code Injection"
}
]
}
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"metrics": [
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"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"format": "CVSS",
"scenarios": [
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"descriptions": [
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"description": "CWE-502 Deserialization of untrusted data",
"lang": "en",
"type": "CWE"
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]
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"providerMetadata": {
"dateUpdated": "2026-09-07T14:19:16.906Z",
"orgId": "ca940d4e-fea4-4aa2-9a58-591a58b1ce21",
"shortName": "TR-CERT"
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"references": [
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"tags": [
"government-resource"
],
"url": "https://siberguvenlik.gov.tr/guvenlik-bildirimleri/detay/tr-26-1027"
}
],
"source": {
"advisory": "TR-26-1027",
"defect": [
"TR-26-1027"
],
"discovery": "UNKNOWN"
},
"title": "Code Injection in Next4Biz\u0027s CSM (Customer Service Management)",
"x_generator": {
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"cveMetadata": {
"assignerOrgId": "ca940d4e-fea4-4aa2-9a58-591a58b1ce21",
"assignerShortName": "TR-CERT",
"cveId": "CVE-2026-7861",
"datePublished": "2026-09-07T14:19:16.906Z",
"dateReserved": "2026-05-05T12:03:08.138Z",
"dateUpdated": "2026-09-07T14:19:16.906Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": "{\"cve\":{\"id\":\"CVE-2026-7861\",\"sourceIdentifier\":\"iletisim@usom.gov.tr\",\"published\":\"2026-09-07T15:17:32.153\",\"lastModified\":\"2026-09-07T15:17:32.153\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Deserialization of untrusted data vulnerability in Next4Biz Information Technologies Inc. CSM (Customer Service Management) allows Code Injection.\\n\\nThis issue affects CSM (Customer Service Management): through 07092026.\u00a0NOTE: The vendor was contacted early about this disclosure but did not respond in any way.\"}],\"affected\":[{\"source\":\"iletisim@usom.gov.tr\",\"affectedData\":[{\"vendor\":\"Next4Biz Information Technologies Inc.\",\"product\":\"CSM (Customer Service Management)\",\"defaultStatus\":\"unknown\",\"versions\":[{\"version\":\"0\",\"lessThanOrEqual\":\"07092026\",\"versionType\":\"custom\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"iletisim@usom.gov.tr\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":9.8,\"baseSeverity\":\"CRITICAL\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":3.9,\"impactScore\":5.9}]},\"weaknesses\":[{\"source\":\"iletisim@usom.gov.tr\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-502\"}]}],\"references\":[{\"url\":\"https://siberguvenlik.gov.tr/guvenlik-bildirimleri/detay/tr-26-1027\",\"source\":\"iletisim@usom.gov.tr\"}]}}"
}
}
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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.
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.
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