What is the official website of GOLDTOE® ?

The official website of GOLDTOE® is http://goldtoe.com.

What is GOLDTOE®'s cybersecurity risk score?

GOLDTOE® has an AI-generated cybersecurity risk score of 754 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has GOLDTOE® experienced?

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

Has GOLDTOE® been affected by any supply chain cyber incidents ?

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

Does GOLDTOE® have SOC 2 Type 1 certification ?

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

Does GOLDTOE® have SOC 2 Type 2 certification ?

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

Does GOLDTOE® comply with GDPR ?

According to Rankiteo, GOLDTOE® is not listed as GDPR compliant.

Does GOLDTOE® have PCI DSS certification ?

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

Does GOLDTOE® comply with HIPAA ?

According to Rankiteo, GOLDTOE® is not compliant with HIPAA regulations.

Does GOLDTOE® have ISO 27001 certification ?

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

Which industry does GOLDTOE® operate in ?

GOLDTOE® operates primarily in the Apparel & Fashion industry.

How many employees does GOLDTOE® have ?

GOLDTOE® employs approximately 37 people worldwide.

Does GOLDTOE® own any subsidiaries ?

GOLDTOE® presently has no subsidiaries across any sectors.

How many LinkedIn followers does GOLDTOE® have ?

GOLDTOE®'s official LinkedIn profile has approximately 858 followers.

Does GOLDTOE® have a Crunchbase profile ?

No, GOLDTOE® does not have a profile on Crunchbase.

Does GOLDTOE® have a LinkedIn profile ?

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

How many cybersecurity incidents has GOLDTOE® experienced ?

As of June 23, 2026, Rankiteo reports that GOLDTOE® has experienced 1 cybersecurity incidents.

How many peer or competitor companies does GOLDTOE® have ?

GOLDTOE® has an estimated 1,413 peer or competitor companies worldwide.

What types of cybersecurity incidents has GOLDTOE® faced ?

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

NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop

WindowsmacOSLinux

Download

Badge your company to reduce your risk score and your cyber insurance costs!

Link verified badges to your company page to build trust with insurers and customers.

Apply now and get your badge!

Internal validation & live display

Insurers and partners see a safer profile

Faster underwriting decisions

Trusted by insurers. Chosen by leaders.

Proud contributor to the Society of Actuaries.

GOLDTOE®

Boost Score +25 with badge (5 left)

754

/1000

Fair

779

/1000

Fair

GOLDTOE® Vendor Cyber Rating & Cyber Score

goldtoe.com

Add Your Compliance Badge

Created in 1934 built on the idea of adding gold linen yarns to the toe of the socks for durability, GOLDTOE® has been one of American’s favourite socks for generations. GOLDTOE®’s collections have always delivered superior quality, fit and comfort, from classic blacks and browns to argyles, checks and patterns. GoldToe was acquired by Gildan in 2011.

GOLDTOE® A.I CyberSecurity Scoring

Scoring History

GOLDTOE®

GOLDTOE® CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

GOLDTOE®

Breach

12/2014

AME026072925

Loading…

A.I.

GOLDTOE® 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

Loading…

Underwriter Stats for GOLDTOE®

Incidents vs Apparel & Fashion Industry Avg (This Year)

No incidents recorded for GOLDTOE® in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for GOLDTOE® in 2026.

Incident Types GOLDTOE® vs Apparel & Fashion Industry Avg (This Year)

No incidents recorded for GOLDTOE® in 2026.

Incident History - GOLDTOE® (X = Date, Y = Severity)

Loading…

SUBSIDIARY

GOLDTOE® Subsidiaries

GOLDTOE®

Apparel & Fashion

Website: http://goldtoe.com

Company Size: 37

GildanTextile Manufacturing

American ApparelRetail Apparel and Fashion

Gildan WholesaleRetail Apparel and Fashion

Silks® HosieryRetail Apparel and Fashion

Board of DecoratorsRetail Apparel and Fashion

Loading…

GOLDTOE® Similar Companies

Ananta Companies

ananta.com.bd

Ananta is an export oriented Woven- Ready Made Garment (RMG) and Leather finished product company. It is under the membership of the Bangladesh Garment Manufacturers and Exporters Association (BGMEA). The main products are trousers- jeans/spandex/cotton, shirts, unlined jackets, overall, shorts of all type and school-wears, leather bags (ladies), leather wallets, leather accessories and other custom leather products. Ananta focuses entirely on the clothing and leather Industry. The plants have over 4200 modern machines for total production capacity of between 1.4 million pcs of garments per month depending on items and style. Our 16000 employees of both production and management teams are dedicated to achieving clients’ production goals. We welcome all our prospective customers to visit and evaluate our firsthand factories. KEY INFORMATION: Year of inception: 1992 No of companies: 6 Total sewing line: 86 Total production floor space: 9,00,000 sft Total work force: 15,000 (Male female ratio: 42:58) Total sewing machines: 5000 Manufacturing business: Readymade woven apparel, Leather goods Monthly production capacity: 2.5 million pcs of RMG Annual turnover: 120 million USD Lead time: 10-16 weeks DEDICATED WORKFORCE: OUR CORE STRENGTH Clients- Gap-USA H&M-Sweden, Canada George-UK Tema Next Morrison Miles New Look C & A JM & A Ananta has been evaluated and certified under the vendor CoCs. We are certified as: GSV WRAP SEDEX BSCI WCA EXPORT VOLUME: WE ARE EMERGING Our motto is to attain highest level of competence through continuous development of the professional management. The export volume & value of the company has been emerged drastically to USD $100 million in the year 2015-16.

BESTSELLER

bestseller.com

At BESTSELLER, we are more than 22,000 people in 38 different countries working for over 20 fashion brands such as ONLY, JACK & JONES, VERO MODA, NAME IT, SELECTED, VILA, PIECES, OBJECT, MAMALICIOUS, NOISY MAY and Y.A.S. We are a family-owned company with a strong foundation and values to build on, empowering us to pursue the ideas we believe in to take BESTSELLER forward. We are committed to diversity and provide equal opportunities for everyone, irrespective of sex, race, ethnicity, religion or belief, disability, age, sexual orientation or gender identity. We strive to create an empowering environment where people can thrive and develop. Our long-term business success is inextricably linked with respecting people and planetary boundaries. Our commitment to responsible operations extends beyond our own company and throughout our value chain. Our sustainability strategy, Fashion FWD, guides our actions towards our sustainability goals and sets the direction for the future of our company. Fairness, opportunities and a sense of responsibility is part of our vision in BESTSELLER. We treat each other as family, which means that we take each other’s differences into account, while creating an empowering environment where people can thrive and develop. We always put our family first and this is what unites us and makes us stronger together.

MAS Holdings

masholdings.com

MAS is an innovation driven company founded on a perfect blend of daring and visionary thinking. Focusing on fashion and lifestyle, we are one of Asia’s largest manufacturers of intimate apparel, sportswear, performance wear and swimwear and provide IT solutions to the apparel and footwear industry worldwide. MAS nurtures and drives a culture of excellence where over 114,000 global associates activate their full potential. Our identity, which goes beyond great products, is deeply embedded in community well-being and nurturing world-class teams.

SQ Group

sqgc.com

Q Collection, based in Singapore, is the parent company of the manufacturing entities collectively known as SQ Group in Bangladesh. As a leading global apparel manufacturing conglomerate, SQ is driven by a passion for innovation, sustainability, and excellence. With a rich heritage spanning 30 years, we operate through three dynamic business clusters: SQ Celsius (Knitwear), SQ Birichina (Lingerie & Activewear), and SQ Hues (Vertical Integration). Our commitment to sustainability is reflected in our LEED-certified facilities and ESG-focused operations. Our team of over 18,000 dedicated employees deliver high-quality products and services, guided by Q Collection's strategic vision of excellence and commitment to shaping the future of apparel manufacturing.

Bombay Rayon Fashions Limited

bombayrayon.com

BRFL is a vertically integrated textile company, engaged in the manufacture of a wide range of fabrics and garments from state of the art production facilities. Apart from being the largest Shirt manufacturer in India, we have successfully evolved into a multi-fiber manufacturing company producing fabrics such as Cotton, Polyester, Tencel, Modal, Lycra, Wool and various blends. Our yarn dyed fabric, printing techniques, finishing, processing, weaving, stitching are a mark of excellence making every piece of fabric perfect. With fabric manufacturing facilities of 100 million meters per annum, garment manufacturing facilities of 60 million pieces per annum, being expanded to 90 million pieces per annum and a strong employee base of around 38,000; BRFL is today one of the most sought after brands in the Indian as well as International fashion markets.

Loading…

NEWS

GOLDTOE® CyberSecurity News

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

Loading…

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

Loading…

API

Access Data Using Our API

Get company history

curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'

Try It API Documentation Rapid

MEASURE

What Do We Measure ?

Incident

Finding

Grade

Digital Assets

Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.

These are some of the factors we use to calculate the overall score:

Network SecurityIdentify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.

SBOM (Software Bill of Materials)Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.

CMDB (Configuration Management Database)Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.

Threat IntelligenceLeverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.

Rankiteo

By Rankiteo

★ ★ ★ ★ ★

View on G2.com

Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.

View latest plans →View all security reports →

MILESTONEG

Users
Love Us

Loading…