What is the official website of J&K Ingredients ?

The official website of J&K Ingredients is http://www.jkingredients.com.

What is J&K Ingredients's cybersecurity risk score?

J&K Ingredients has an AI-generated cybersecurity risk score of 746 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has J&K Ingredients experienced?

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

Has J&K Ingredients been affected by any supply chain cyber incidents ?

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

Does J&K Ingredients have SOC 2 Type 1 certification ?

According to Rankiteo, J&K Ingredients is not certified under SOC 2 Type 1.

Does J&K Ingredients have SOC 2 Type 2 certification ?

According to Rankiteo, J&K Ingredients does not hold a SOC 2 Type 2 certification.

Does J&K Ingredients comply with GDPR ?

According to Rankiteo, J&K Ingredients is not listed as GDPR compliant.

Does J&K Ingredients have PCI DSS certification ?

According to Rankiteo, J&K Ingredients does not currently maintain PCI DSS compliance.

Does J&K Ingredients comply with HIPAA ?

According to Rankiteo, J&K Ingredients is not compliant with HIPAA regulations.

Does J&K Ingredients have ISO 27001 certification ?

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

Which industry does J&K Ingredients operate in ?

J&K Ingredients operates primarily in the Food and Beverage Manufacturing industry.

How many employees does J&K Ingredients have ?

J&K Ingredients employs approximately 63 people worldwide.

Does J&K Ingredients own any subsidiaries ?

J&K Ingredients presently has no subsidiaries across any sectors.

How many LinkedIn followers does J&K Ingredients have ?

J&K Ingredients's official LinkedIn profile has approximately 1,669 followers.

What is the NAICS classification code for J&K Ingredients ?

J&K Ingredients is classified under the NAICS code 311, which corresponds to Food Manufacturing.

Does J&K Ingredients have a Crunchbase profile ?

No, J&K Ingredients does not have a profile on Crunchbase.

Does J&K Ingredients have a LinkedIn profile ?

Yes, J&K Ingredients maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/j-&-k-ingredients.

How many cybersecurity incidents has J&K Ingredients experienced ?

As of June 23, 2026, Rankiteo reports that J&K Ingredients has experienced 1 cybersecurity incidents.

How many peer or competitor companies does J&K Ingredients have ?

J&K Ingredients has an estimated 4,440 peer or competitor companies worldwide.

What types of cybersecurity incidents has J&K Ingredients faced ?

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

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J&K Ingredients

Boost Score +25 with badge (5 left)

746

/1000

Moderate

771

/1000

Fair

J&K Ingredients Vendor Cyber Rating & Cyber Score

jkingredients.com

Add Your Compliance Badge

J&K Ingredients is the leader in retaining freshness in bakery products naturally with clean labels.

J&K Ingredients A.I CyberSecurity Scoring

Scoring History

J&K Ingredients

J&K Ingredients CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

J&K Ingredients

Ransomware

100

8/2021

SI-553072525

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A.I.

J&K Ingredients 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 J&K Ingredients

Incidents vs Food and Beverage Manufacturing Industry Avg (This Year)

No incidents recorded for J&K Ingredients in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for J&K Ingredients in 2026.

Incident Types J&K Ingredients vs Food and Beverage Manufacturing Industry Avg (This Year)

No incidents recorded for J&K Ingredients in 2026.

Incident History - J&K Ingredients (X = Date, Y = Severity)

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SUBSIDIARY

J&K Ingredients Subsidiaries

J&K Ingredients

Food and Beverage Manufacturing

Website: http://www.jkingredients.com

Company Size: 63

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ApobiologixBiotechnology Research

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EcopolPackaging and Containers Manufacturing

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Danone is a leading global food and beverage company operating in three health-focused, fast-growing, and on-trend Categories: Essential Dairy & Plant-Based products, Waters, and Specialized Nutrition. With a long-standing mission of bringing health through food to as many people as possible, Danone aims to inspire healthier and more sustainable eating and drinking practices while committing to achieve measurable nutritional, social, societal, and environment impact. Danone has defined its “Renew” strategy to restore growth, competitiveness, and value creation for the long-term. With almost 90,000 employees, and products sold in over 120 markets, Danone generated €27.6 billion in sales in 2023. Danone’s portfolio includes leading international brands (Actimel, Activia, Alpro, Aptamil, Danette, Danio, Danonino, evian, Nutricia, Nutrilon, and Volvic, among others) as well as strong local and regional brands (including AQUA, Blédina, Bonafont, Cow & Gate, Mizone, Oikos and Silk). Listed on Euronext Paris and present on the OTCQX platform via an ADR (American Depositary Receipt) program, Danone is a component stock of leading sustainability indexes including the ones managed by Moody’s and Sustainalytics, as well as MSCI ESG Indexes, FTSE4Good Index Series, Bloomberg Gender Equality Index, and Access to Nutrition Index. Danone’s ambition is to be B CorpTM certified at a global level in 2025.

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NEWS

J&K Ingredients CyberSecurity News

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

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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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