What is Cybersecurity: Identity and Access Management by MIT xPRO's cybersecurity risk score?

Cybersecurity: Identity and Access Management by MIT xPRO has an AI-generated cybersecurity risk score of 755 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Cybersecurity: Identity and Access Management by MIT xPRO experienced?

According to Rankiteo, Cybersecurity: Identity and Access Management by MIT xPRO currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Cybersecurity: Identity and Access Management by MIT xPRO been affected by any supply chain cyber incidents ?

According to Rankiteo, Cybersecurity: Identity and Access Management by MIT xPRO has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Cybersecurity: Identity and Access Management by MIT xPRO have SOC 2 Type 2 certification ?

According to Rankiteo, Cybersecurity: Identity and Access Management by MIT xPRO does not hold a SOC 2 Type 2 certification.

Does Cybersecurity: Identity and Access Management by MIT xPRO have PCI DSS certification ?

According to Rankiteo, Cybersecurity: Identity and Access Management by MIT xPRO does not currently maintain PCI DSS compliance.

Does Cybersecurity: Identity and Access Management by MIT xPRO have ISO 27001 certification ?

According to Rankiteo,Cybersecurity: Identity and Access Management by MIT xPRO is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

How many employees does Cybersecurity: Identity and Access Management by MIT xPRO have ?

Cybersecurity: Identity and Access Management by MIT xPRO employs approximately 0 people worldwide.

Does Cybersecurity: Identity and Access Management by MIT xPRO own any subsidiaries ?

Cybersecurity: Identity and Access Management by MIT xPRO presently has no subsidiaries across any sectors.

How many LinkedIn followers does Cybersecurity: Identity and Access Management by MIT xPRO have ?

Cybersecurity: Identity and Access Management by MIT xPRO's official LinkedIn profile has approximately 106 followers.

Does Cybersecurity: Identity and Access Management by MIT xPRO have a Crunchbase profile ?

No, Cybersecurity: Identity and Access Management by MIT xPRO does not have a profile on Crunchbase.

Does Cybersecurity: Identity and Access Management by MIT xPRO have a LinkedIn profile ?

Yes, Cybersecurity: Identity and Access Management by MIT xPRO maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/cybersecurity-identity-access-management-mit-xpro.

How many peer or competitor companies does Cybersecurity: Identity and Access Management by MIT xPRO have ?

Cybersecurity: Identity and Access Management by MIT xPRO has an estimated 746 peer or competitor companies worldwide.

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755

/1000

Fair

780

/1000

Fair

Cybersecurity: Identity and Access Management by MIT xPRO Vendor Cyber Rating & Cyber Score

emrt.us

Add Your Compliance Badge

MIT xPRO's Cybersecurity: Identity and Access Management program provides an overview of concepts, strategies, and skills to protect enterprise computer systems against cyberattacks. It features personalized feedback from learning facilitators as well as assignments that help you develop your newly gained cybersecurity skills.

CIAMMX A.I CyberSecurity Scoring

Scoring History

CIAMMX

Cybersecurity: Identity and Access Management by MIT xPRO CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

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Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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A.I.

CIAMMX 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

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Underwriter Stats for CIAMMX

Incidents vs E-learning Industry Avg (This Year)

No incidents recorded for Cybersecurity: Identity and Access Management by MIT xPRO in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Cybersecurity: Identity and Access Management by MIT xPRO in 2026.

Incident Types CIAMMX vs E-learning Industry Avg (This Year)

No incidents recorded for Cybersecurity: Identity and Access Management by MIT xPRO in 2026.

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

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SUBSIDIARY

Cybersecurity: Identity and Access Management by MIT xPRO Subsidiaries

Parent Company

CIAMMX

E-learning

Website: https://emrt.us/mo-crm-li-lm

Company Size: 0

No subsidiary data available for this company.

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Cybersecurity: Identity and Access Management by MIT xPRO Similar Companies

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NEWS

Cybersecurity: Identity and Access Management by MIT xPRO 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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