CVE-2016-7836 (GCVE-0-2016-7836)
Vulnerability from cvelistv5 – Published: 2017-06-09 16:00 – Updated: 2025-10-21 23:55Summary
SKYSEA Client View Ver.11.221.03 and earlier allows remote code execution via a flaw in processing authentication on the TCP connection with the management console program.
Severity
9.8 (Critical)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-15 03:56 UTC
CWE
- Remote code execution
- CWE-287 - Improper Authentication
Assigner
References
5 references
| URL | Tags |
|---|---|
| http://www.skyseaclientview.net/news/161221/ | x_refsource_CONFIRM |
| https://www.skygroup.jp/security-info/170308.html | x_refsource_CONFIRM |
| https://jvn.jp/en/jp/JVN84995847/index.html | third-party-advisoryx_refsource_JVN |
| http://www.securityfocus.com/bid/95062 | vdb-entryx_refsource_BID |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Sky Co., LTD. | SKYSEA Client View |
Affected:
Ver.11.221.03 and earlier
|
Date Public
2016-12-22 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 5330731a-f408-4951-9ddb-03fae2541083
Exploited: Yes
Timestamps
First Seen: 2025-10-14
Asserted: 2025-10-14
Scope
Notes: SKYSEA Client View Improper Authentication Vulnerability | Affected: SKYSEA / Client View | Description: SKYSEA Client View contains an improper authentication vulnerability that allows remote code execution via a flaw in processing authentication on the TCP connection with the management console program. | Required action: Apply mitigations per vendor instructions, follow applicable BOD 22-01 guidance for cloud services, or discontinue use of the product if mitigations are unavailable. | Due date: 2025-11-04 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://www.skyseaclientview.net/news/161221/ ; https://nvd.nist.gov/vuln/detail/CVE-2016-7836
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-287 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Client View |
| Due Date | 2025-11-04 |
| Date Added | 2025-10-14 |
| Vendorproject | SKYSEA |
| Vulnerabilityname | SKYSEA Client View Improper Authentication Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-10-02 08:09 CEST
| Updated: 2026-10-02 08:09 CEST
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: a55d76c7-f126-49d2-812a-55688a9922f7
Exploited: Yes
Timestamps
First Seen: 2026-06-01
Asserted: 2026-06-01
Scope
Notes: SKYSEA Client View Ver.11.221.03 and earlier allows remote code execution via a flaw in processing authentication on the TCP connection with the... | Affected: Sky / SKYSEA Client View | CVSS: 9.8 (CRITICAL) | EPSS: 0.1923 | Used in malware: unknown | Listed 1 day ahead of CISA KEV | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | SKYSEA Client View Ver.11.221.03 and earlier allows remote code execution via a flaw in processing authentication on the TCP connection with the... |
| Cve Id | CVE-2016-7836 |
| Vendor | Sky |
| Ghsa Id | None |
| Product | SKYSEA Client View |
| Added Date | 2026-06-01T10:42:08.181Z |
| Cvss Score | 9.8 |
| Epss Score | 0.1923 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.97257 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2016-7836 |
| Ahead Of Cisa Kev |
|
| Not Yet In Cisa Kev | False |
References
Created: 2026-10-02 09:10 CEST
| Updated: 2026-10-02 09:10 CEST
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"ID": "CVE-2016-7836",
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},
"affects": {
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"name": "http://www.skyseaclientview.net/news/161221/",
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"name": "JVN#84995847",
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"datePublished": "2017-06-09T16:00:00.000Z",
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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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