What is the official website of Appier ?

The official website of Appier is http://www.appier.com.

What is Appier's cybersecurity risk score?

Appier has an AI-generated cybersecurity risk score of 758 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Appier experienced?

According to Rankiteo, Appier currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Appier been affected by any supply chain cyber incidents ?

According to Rankiteo, Appier has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Appier have SOC 2 Type 1 certification ?

According to Rankiteo, Appier is not certified under SOC 2 Type 1.

Does Appier have SOC 2 Type 2 certification ?

According to Rankiteo, Appier does not hold a SOC 2 Type 2 certification.

Does Appier comply with GDPR ?

According to Rankiteo, Appier is not listed as GDPR compliant.

Does Appier have PCI DSS certification ?

According to Rankiteo, Appier does not currently maintain PCI DSS compliance.

Does Appier comply with HIPAA ?

According to Rankiteo, Appier is not compliant with HIPAA regulations.

Does Appier have ISO 27001 certification ?

According to Rankiteo,Appier is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Appier operate in ?

Appier operates primarily in the IT Services and IT Consulting industry.

How many employees does Appier have ?

Appier employs approximately 864 people worldwide.

Does Appier own any subsidiaries ?

Appier presently has no subsidiaries across any sectors.

How many LinkedIn followers does Appier have ?

Appier's official LinkedIn profile has approximately 81,218 followers.

What is the NAICS classification code for Appier ?

Appier is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does Appier have a Crunchbase profile ?

Yes, Appier has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/appier.

Does Appier have a LinkedIn profile ?

Yes, Appier maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/appier.

How many cybersecurity incidents has Appier experienced ?

As of October 6, 2026, Rankiteo reports that Appier has not experienced any cybersecurity incidents.

How many peer or competitor companies does Appier have ?

Appier has an estimated 41,844 peer or competitor companies worldwide.

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Appier

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758

/1000

Fair

783

/1000

Fair

Appier Vendor Cyber Rating & Cyber Score

appier.com

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Appier is an AI-native SaaS company that empowers businesses to create value with cutting-edge AdTech and MarTech solutions. Guided by the vision of “Making AI Easy by Making Software Intelligent,” our mission is to help businesses turn AI into ROI. Founded in 2012, Appier is listed on the Tokyo Stock Exchange’s Prime Market (Ticker: 4180) and operates in 17 cities worldwide, enabling over 1,800 leading companies to enhance marketing performance with the latest AI technology. As AI enablers for our customers in the AI Era, Appier delivers innovative solutions that drive measurable results.

Appier

Appier CyberSecurity News & History

Past Incidents

Attack Types

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Impact

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A.I.

Appier Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for Appier

Incidents vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Appier in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Appier in 2026.

Incident Types Appier vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Appier in 2026.

Incident History - Appier (X = Date, Y = Severity)

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SUBSIDIARY

Appier Subsidiaries

Appier

IT Services and IT Consulting

Website: http://www.appier.com

Company Size: 864

Appier (Japan)ITサービス・ITコンサルティング

Appier (Korea)IT 서비스 및 IT 컨설팅

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NEWS

Appier CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

January 08, 2018 08:00 AM

These 100 Companies Are Leading the Way in A.I.

The A.I. revolution is coming—and research firm CB Insights has identified the 100 most promising artificial intelligence startups.

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-105761

SUMMARY

Dify is an open-source LLM app development platform. Prior to 1.16.0, the PUT /console/api/apps/<app_id>/server endpoint in api/controllers/console/app/mcp_server.py used AppMCPServerController.put() to retrieve an AppMCPServer by the client-supplied server ID without verifying that the server belonged to the requested application and tenant. An authenticated workspace member could therefore change another application's MCP server status and parameters, potentially redirecting data or disabling the service. This issue is fixed in version 1.16.0.

Published

Date2026-10-05

Updated

Date2026-10-05

RISK INFORMATION (Score: 7.1)

cvss3

Base Score: 7.1

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L

Impact Score

4.2

Exploitability

2.8

REFERENCES

CVE-2026-105760

SUMMARY

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

RISK INFORMATION (Score: 5.3)

cvss3

Base Score: 5.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-105759

SUMMARY

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the Rust frontend's track_http_metrics middleware records the raw HTTP method token as a Prometheus label for requests reaching registered routes. An unauthenticated attacker can send unique arbitrary method tokens to unguarded routes such as /tokenize, causing Prometheus's Family::get_or_create function to permanently create counter and histogram label sets. Those label sets increase process memory usage and enlarge the /metrics response until the service or monitoring path is exhausted. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

RISK INFORMATION (Score: 5.9)

cvss3

Base Score: 5.9

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.2

REFERENCES

CVE-2026-105758

SUMMARY

vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for the media_io_kwargs.video.max_frames and media_io_kwargs.video.fps fields without enforcing server-side ceilings. An unauthenticated caller can submit these values to the /tokenize endpoint, causing the sampler to decode every frame selected from attacker-controlled video input, consume disproportionate frontend memory, and potentially terminate the API process before scheduling or admission control. The Rust frontend is not affected because it rejects the media_io_kwargs field. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

RISK INFORMATION (Score: 5.3)

cvss3

Base Score: 5.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-105757

SUMMARY

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0.

Published

Date2026-10-05

Updated

Date2026-10-05

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.8

REFERENCES

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