What is the official website of Energetics ?

The official website of Energetics is http://www.energetics.com.

What is Energetics's cybersecurity risk score?

Energetics has an AI-generated cybersecurity risk score of 751 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Energetics experienced?

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

Has Energetics been affected by any supply chain cyber incidents ?

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

Does Energetics have SOC 2 Type 1 certification ?

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

Does Energetics have SOC 2 Type 2 certification ?

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

Does Energetics comply with GDPR ?

According to Rankiteo, Energetics is not listed as GDPR compliant.

Does Energetics have PCI DSS certification ?

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

Does Energetics comply with HIPAA ?

According to Rankiteo, Energetics is not compliant with HIPAA regulations.

Does Energetics have ISO 27001 certification ?

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

Which industry does Energetics operate in ?

Energetics operates primarily in the Business Consulting and Services industry.

How many employees does Energetics have ?

Energetics employs approximately 167 people worldwide.

Does Energetics own any subsidiaries ?

Energetics presently has no subsidiaries across any sectors.

How many LinkedIn followers does Energetics have ?

Energetics's official LinkedIn profile has approximately 9,509 followers.

What is the NAICS classification code for Energetics ?

Energetics is classified under the NAICS code 5416, which corresponds to Management, Scientific, and Technical Consulting Services.

Does Energetics have a Crunchbase profile ?

Yes, Energetics has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/energetics.

Does Energetics have a LinkedIn profile ?

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

How many cybersecurity incidents has Energetics experienced ?

As of June 23, 2026, Rankiteo reports that Energetics has not experienced any cybersecurity incidents.

How many peer or competitor companies does Energetics have ?

Energetics has an estimated 19,483 peer or competitor companies worldwide.

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Energetics

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751

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776

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Fair

Energetics Vendor Cyber Rating & Cyber Score

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Energetics is a full-service technical and management consulting company specializing in energy (specifically energy modernization, efficiency, and clean energy) and infrastructure resilience. Major clients include the U.S. Department of Energy, the Department of Homeland Security, the National Institute of Standards and Technology, and the New York State Energy Research and Development Authority. For information on our latest job postings, please visit us at http://careers.energetics.com/Careers.aspx

Energetics A.I CyberSecurity Scoring

Scoring History

Energetics

Energetics CyberSecurity News & History

Past Incidents

Attack Types

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Impact

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Blog Details

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A.I.

Energetics 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 Energetics

Incidents vs Business Consulting and Services Industry Avg (This Year)

No incidents recorded for Energetics in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Energetics in 2026.

Incident Types Energetics vs Business Consulting and Services Industry Avg (This Year)

No incidents recorded for Energetics in 2026.

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

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SUBSIDIARY

Energetics Subsidiaries

Energetics

Business Consulting and Services

Website: http://www.energetics.com

Company Size: 167

VSE CorporationTruck Transportation

VSE AviationAviation and Aerospace Component Manufacturing

Wheeler Fleet SolutionsMotor Vehicle Manufacturing

GlobalParts GroupAviation and Aerospace Component Manufacturing

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NEWS

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

November 11, 2025 04:00 AM

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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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