What is the official website of Jani-King International, Inc. ?

The official website of Jani-King International, Inc. is https://www.janiking.com/.

What is Jani-King International, Inc.'s cybersecurity risk score?

Jani-King International, Inc. has an AI-generated cybersecurity risk score of 717 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Jani-King International, Inc. experienced?

According to Rankiteo, Jani-King International, Inc. currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Jani-King International, Inc. been affected by any supply chain cyber incidents ?

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

Does Jani-King International, Inc. have SOC 2 Type 1 certification ?

According to Rankiteo, Jani-King International, Inc. is not certified under SOC 2 Type 1.

Does Jani-King International, Inc. have SOC 2 Type 2 certification ?

According to Rankiteo, Jani-King International, Inc. does not hold a SOC 2 Type 2 certification.

Does Jani-King International, Inc. comply with GDPR ?

According to Rankiteo, Jani-King International, Inc. is not listed as GDPR compliant.

Does Jani-King International, Inc. have PCI DSS certification ?

According to Rankiteo, Jani-King International, Inc. does not currently maintain PCI DSS compliance.

Does Jani-King International, Inc. comply with HIPAA ?

According to Rankiteo, Jani-King International, Inc. is not compliant with HIPAA regulations.

Does Jani-King International, Inc. have ISO 27001 certification ?

According to Rankiteo,Jani-King International, Inc. is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Jani-King International, Inc. operate in ?

Jani-King International, Inc. operates primarily in the Facilities Services industry.

How many employees does Jani-King International, Inc. have ?

Jani-King International, Inc. employs approximately 2,124 people worldwide.

Does Jani-King International, Inc. own any subsidiaries ?

Jani-King International, Inc. presently has no subsidiaries across any sectors.

How many LinkedIn followers does Jani-King International, Inc. have ?

Jani-King International, Inc.'s official LinkedIn profile has approximately 9,211 followers.

What is the NAICS classification code for Jani-King International, Inc. ?

Jani-King International, Inc. is classified under the NAICS code 5612, which corresponds to Facilities Support Services.

Does Jani-King International, Inc. have a Crunchbase profile ?

No, Jani-King International, Inc. does not have a profile on Crunchbase.

Does Jani-King International, Inc. have a LinkedIn profile ?

Yes, Jani-King International, Inc. maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/janikinginternational.

How many cybersecurity incidents has Jani-King International, Inc. experienced ?

As of June 23, 2026, Rankiteo reports that Jani-King International, Inc. has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Jani-King International, Inc. have ?

Jani-King International, Inc. has an estimated 4,944 peer or competitor companies worldwide.

What types of cybersecurity incidents has Jani-King International, Inc. faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach.

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JII

Boost Score +25 with badge (5 left)

717

/1000

Moderate

742

/1000

Moderate

Jani-King International, Inc. Vendor Cyber Rating & Cyber Score

janiking.com

Add Your Compliance Badge

Jani-King International has been a leader in the commercial cleaning services industry for 55 years as the first commercial cleaning franchise company with local support offices. Jani-King has developed comprehensive programs to address proper cleaning and disinfection applications. Our expertise in commercial cleaning services and disinfection application programs include proper training & equipment and is adaptable to all work and public environments.

JII A.I CyberSecurity Scoring

Scoring History

JII

Jani-King International, Inc. CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Jani-King Internati...

Breach

11/2024

JAN910072625

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A.I.

JII 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 JII

Incidents vs Facilities Services Industry Avg (This Year)

No incidents recorded for Jani-King International, Inc. in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Jani-King International, Inc. in 2026.

Incident Types JII vs Facilities Services Industry Avg (This Year)

No incidents recorded for Jani-King International, Inc. in 2026.

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

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SUBSIDIARY

Jani-King International, Inc. Subsidiaries

Parent Company

JII

Facilities Services

Website: https://www.janiking.com/

Company Size: 10,000+ employees

No subsidiary data available for this company.

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NEWS

Jani-King International, Inc. CyberSecurity News

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

May 06, 2025 07:00 AM

Jani-King Hit With Five Class Actions Over 2024 Data Breach

Commercial-cleaning franchise company Jani-King International Inc. is facing five proposed class actions alleging it negligently failed to...

Read Article

April 17, 2025 07:00 AM

Jani-King Data Breach Exposes Social Security Numbers

Jani-King International recently experienced a data breach impacting individuals connected to its franchise operations.

Read Article

May 31, 2023 07:00 AM

Contract Cleaning Services Market Is Encouraged to Reach USD 639.5 billion by 2032 at a CAGR of 6.56%

Contract Cleaning Services market was valued at USD 344.2 Billion in 2022 and is expected to grow by 639.5 billion in 2032.

Read Article

September 09, 2021 07:00 AM

Jani-King franchise agreements didn't violate labor laws - 2nd Circ.

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Read Article

March 19, 2015 07:00 AM

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-54236

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

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:L/I:N/A:N

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-54235

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 6.9

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/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

Impact Score

Exploitability

REFERENCES

CVE-2026-54233

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

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

CVE-2026-54232

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 8.8)

cvss3

Base Score: 8.8

Complexity: LOW

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

Impact Score

5.9

Exploitability

2.8

REFERENCES

https://github.com/vllm-project/vllm/security/advisories/GHSA-jrf6-vqxq-pjv2

CVE-2026-53923

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 5.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:N/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

Impact Score

Exploitability

REFERENCES

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