What is the official website of Mail from Word ?

The official website of Mail from Word is http://www.click2mail.com.

What is Mail from Word's cybersecurity risk score?

Mail from Word 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 Mail from Word experienced?

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

Has Mail from Word been affected by any supply chain cyber incidents ?

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

Does Mail from Word have SOC 2 Type 1 certification ?

According to Rankiteo, Mail from Word is not certified under SOC 2 Type 1.

Does Mail from Word have SOC 2 Type 2 certification ?

According to Rankiteo, Mail from Word does not hold a SOC 2 Type 2 certification.

Does Mail from Word comply with GDPR ?

According to Rankiteo, Mail from Word is not listed as GDPR compliant.

Does Mail from Word have PCI DSS certification ?

According to Rankiteo, Mail from Word does not currently maintain PCI DSS compliance.

Does Mail from Word comply with HIPAA ?

According to Rankiteo, Mail from Word is not compliant with HIPAA regulations.

Does Mail from Word have ISO 27001 certification ?

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

Which industry does Mail from Word operate in ?

Mail from Word operates primarily in the Advertising Services industry.

How many employees does Mail from Word have ?

Mail from Word employs approximately None employees people worldwide.

Does Mail from Word own any subsidiaries ?

Mail from Word presently has no subsidiaries across any sectors.

How many LinkedIn followers does Mail from Word have ?

Mail from Word's official LinkedIn profile has approximately 5 followers.

What is the NAICS classification code for Mail from Word ?

Mail from Word is classified under the NAICS code 541613, which corresponds to Marketing Consulting Services.

Does Mail from Word have a Crunchbase profile ?

No, Mail from Word does not have a profile on Crunchbase.

Does Mail from Word have a LinkedIn profile ?

Yes, Mail from Word maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/mail-from-word.

How many cybersecurity incidents has Mail from Word experienced ?

As of June 23, 2026, Rankiteo reports that Mail from Word has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Mail from Word have ?

Mail from Word has an estimated 33,302 peer or competitor companies worldwide.

What types of cybersecurity incidents has Mail from Word faced ?

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

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758

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Fair

783

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Fair

Mail from Word Vendor Cyber Rating & Cyber Score

click2mail.com

Add Your Compliance Badge

Send postal mail right from Microsoft Word with Click2Mail.com. Mail invoices, legal documents, business correspondence, and personal letters via first-class, marketing mail, certified mail or priority mail. No minimums. Pay for what you use. Click2Mail creates affordable cloud-based postal mailing technology that serves thousands of small- and mid-volume corporate, nonprofit, member-based, academic and municipal organizations. Click2Mail is a recognized affiliate of the United States Postal Service.

MW A.I CyberSecurity Scoring

Scoring History

Mail from Word CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Mail from Word

Data Leak

10/2019

CLI32117423

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A.I.

MW 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 MW

Incidents vs Advertising Services Industry Avg (This Year)

No incidents recorded for Mail from Word in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Mail from Word in 2026.

Incident Types MW vs Advertising Services Industry Avg (This Year)

No incidents recorded for Mail from Word in 2026.

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

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SUBSIDIARY

Mail from Word Subsidiaries

MW

Advertising Services

Website: http://www.click2mail.com

Company Size: 11-50 employees

Click2MailAdvertising Services

Certified MailAdvertising Services

Mail My DocAdvertising Services

MailJack+ from Click2MailAdvertising Services

Integrate APIsAdvertising Services

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$TBWA\Worldwide$

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NEWS

Mail from Word CyberSecurity News

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

March 04, 2026 08:00 AM

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Explore the top ethical hacking tools for validation, scanning, analysis, and more. Learn what each tool does and how it supports effective...

Read Article

February 20, 2026 08:00 AM

Copilot was spying on confidential emails, Microsoft rushes to ship worldwide fix

Microsoft confirms a Copilot bug exposed confidential emails, raising new security fears for Microsoft 365 enterprise users.

Read Article

February 18, 2026 10:02 PM

Microsoft says Copilot was summarizing confidential emails without permission

A bug in Microsoft 365 and Copilot has been causing the AI assistant to summarize emails that were explicitly labeled as confidential, according to a report...

Read Article

February 13, 2026 08:00 AM

Malicious Chrome Extensions Caught Stealing Business Data, Emails, and Browsing History

Cybersecurity researchers have discovered a malicious Google Chrome extension that's designed to steal data associated with Meta Business...

Read Article

February 03, 2026 08:00 AM

Beware of New Compliance Emails Weaponizing Word/PDF Files to Steal Sensitive Data

Phishing emails posing as compliance alerts target macOS users, delivering fileless malware to steal credentials and gain remote access.

Read Article

January 22, 2026 08:00 AM

18 enterprise email security best practices for 2026

Learn best practices for protecting corporate email accounts, from implementing MFA to educating employees about avoiding malicious links...

Read Article

January 09, 2026 08:00 AM

MuddyWater APT Delivers “RustyWater” Through Weaponized Word Documents

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Read Article

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Microsoft Outlook Vulnerability Let Attackers Execute Malicious Code Remotely

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Read Article

December 05, 2025 08:00 AM

MuddyWater Hackers Using UDPGangster Backdoor to Attack Windows Systems Evading Network Defenses

UDPGangster, a UDP-based backdoor from MuddyWater, is hitting Windows systems in Turkey, Israel, and Azerbaijan, giving full remote control.

Read Article

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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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