What is the official website of Moody's Analytics ?

The official website of Moody's Analytics is https://www.moodys.com.

What is Moody's Analytics's cybersecurity risk score?

Moody's Analytics has an AI-generated cybersecurity risk score of 784 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Moody's Analytics experienced?

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

Has Moody's Analytics been affected by any supply chain cyber incidents ?

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

Does Moody's Analytics have SOC 2 Type 1 certification ?

According to Rankiteo, Moody's Analytics is not certified under SOC 2 Type 1.

Does Moody's Analytics have SOC 2 Type 2 certification ?

According to Rankiteo, Moody's Analytics does not hold a SOC 2 Type 2 certification.

Does Moody's Analytics comply with GDPR ?

According to Rankiteo, Moody's Analytics is not listed as GDPR compliant.

Does Moody's Analytics have PCI DSS certification ?

According to Rankiteo, Moody's Analytics does not currently maintain PCI DSS compliance.

Does Moody's Analytics comply with HIPAA ?

According to Rankiteo, Moody's Analytics is not compliant with HIPAA regulations.

Does Moody's Analytics have ISO 27001 certification ?

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

Which industry does Moody's Analytics operate in ?

Moody's Analytics operates primarily in the Financial Services industry.

How many employees does Moody's Analytics have ?

Moody's Analytics employs approximately 11,670 people worldwide.

Does Moody's Analytics own any subsidiaries ?

Moody's Analytics presently has no subsidiaries across any sectors.

How many LinkedIn followers does Moody's Analytics have ?

Moody's Analytics's official LinkedIn profile has approximately 374,197 followers.

What is the NAICS classification code for Moody's Analytics ?

Moody's Analytics is classified under the NAICS code 52, which corresponds to Finance and Insurance.

Does Moody's Analytics have a Crunchbase profile ?

No, Moody's Analytics does not have a profile on Crunchbase.

Does Moody's Analytics have a LinkedIn profile ?

Yes, Moody's Analytics maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/moodys-analytics.

How many cybersecurity incidents has Moody's Analytics experienced ?

As of June 23, 2026, Rankiteo reports that Moody's Analytics has not experienced any cybersecurity incidents.

How many peer or competitor companies does Moody's Analytics have ?

Moody's Analytics has an estimated 32,127 peer or competitor companies worldwide.

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Moody's Analytics

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784

/1000

Fair

809

/1000

Good

Moody's Analytics Vendor Cyber Rating & Cyber Score

moodys.com

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In an era where risks are multiplying and increasingly interconnected, Moody’s helps organizations make sense of the complexities. By combining data, intelligence, and risk expertise with groundbreaking technologies and a seamless customer experience, we deliver relevant insights on interconnected risk to thousands of organizations worldwide – enabling business and financial leaders to act decisively and thrive amid uncertainty. → Follow Moody’s Corporation for updates about our company, people, careers, and more

Moody's Analytics A.I CyberSecurity Scoring

Scoring History

Moody's Analytics

Moody's Analytics CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

Moody's Analytics 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 Moody's Analytics

Incidents vs Financial Services Industry Avg (This Year)

No incidents recorded for Moody's Analytics in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Moody's Analytics in 2026.

Incident Types Moody's Analytics vs Financial Services Industry Avg (This Year)

No incidents recorded for Moody's Analytics in 2026.

Incident History - Moody's Analytics (X = Date, Y = Severity)

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SUBSIDIARY

Moody's Analytics Subsidiaries

Moody's Analytics

Financial Services

Website: https://www.moodys.com

Company Size: 10,001+ employees

Moody's CorporationFinancial Services

Moody's RatingsFinancial Services

Moody's LocalFinancial Services

Korea Investors ServiceResearch

Moody's - Insurance SolutionsSoftware Development

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NEWS

Moody's Analytics CyberSecurity News

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

January 12, 2026 08:00 AM

Digital economy 2026 executive summaries: Artificial intelligence, digital finance, cyber risk, and data centers

Artificial intelligence (AI) continues to advance rapidly while other technologies are integrating once-siloed areas such as transition...

Read Article

January 08, 2026 08:00 AM

Moody’s forecasts growing AI threats, regulatory friction for 2026

The U.S. and the EU continue to pursue starkly different regulatory agendas, the research firm noted.

Read Article

November 14, 2025 11:54 AM

The Top 100 U.S. Cybersecurity Leaders Shaping a Safer Digital Future

These Top 100 cybersecurity leaders in the U.S. are not only tackling today's threats but also anticipating the challenges of tomorrow.

Read Article

October 10, 2025 07:00 AM

Insurers continue to boost cybersecurity oversight and investment - Moody’s

Cybersecurity remains a central concern for insurers and asset managers worldwide, according to a recent Moody's survey of 102 companies...

Read Article

October 07, 2025 07:00 AM

Moody's: Mitigating Third-Party Supply Chain Cyber Risk

Moody's expert Andrei Quinn-Barabanov explains how to mitigate third-party cyber risk using a data-driven framework for greater supply chain...

Read Article

October 01, 2025 07:00 AM

2025 Cyber Survey: Key findings

Large numbers of companies and organizations have no rules in place to govern the safe use of new artificial intelligence (AI) tools in the...

Read Article

July 23, 2025 07:00 AM

Key cyber insurance takeaways from Asia-Pacific: Addressing unique challenges with innovative models

Authors: Harry Lawrence, Associate Director - Customer Success Management, Insurance, Moody's; Mila Stevanic, Moody's Analytics Graduate,...

Read Article

July 16, 2025 07:00 AM

Moody’s Corporation Elects Sumit Dhawan to Board of Directors

Moody's Corporation (NYSE: MCO) has elected Sumit Dhawan to the Company's Board of Directors, effective July 16, 2025.

Read Article

July 01, 2025 09:16 AM

Supplier Risk Management Solutions

Access entity data that can uncover supply chain vulnerabilities and build resilient supply chains.

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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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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.

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