What is the official website of Citara Systems ?

The official website of Citara Systems is http://www.citarasystems.com.

What is Citara Systems's cybersecurity risk score?

Citara Systems has an AI-generated cybersecurity risk score of 738 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Citara Systems experienced?

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

Has Citara Systems been affected by any supply chain cyber incidents ?

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

Does Citara Systems have SOC 2 Type 1 certification ?

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

Does Citara Systems have SOC 2 Type 2 certification ?

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

Does Citara Systems comply with GDPR ?

According to Rankiteo, Citara Systems is not listed as GDPR compliant.

Does Citara Systems have PCI DSS certification ?

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

Does Citara Systems comply with HIPAA ?

According to Rankiteo, Citara Systems is not compliant with HIPAA regulations.

Does Citara Systems have ISO 27001 certification ?

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

Which industry does Citara Systems operate in ?

Citara Systems operates primarily in the IT Services and IT Consulting industry.

How many employees does Citara Systems have ?

Citara Systems employs approximately 9 people worldwide.

Does Citara Systems own any subsidiaries ?

Citara Systems presently has no subsidiaries across any sectors.

How many LinkedIn followers does Citara Systems have ?

Citara Systems's official LinkedIn profile has approximately 227 followers.

What is the NAICS classification code for Citara Systems ?

Citara Systems is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does Citara Systems have a Crunchbase profile ?

No, Citara Systems does not have a profile on Crunchbase.

Does Citara Systems have a LinkedIn profile ?

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

How many cybersecurity incidents has Citara Systems experienced ?

As of June 23, 2026, Rankiteo reports that Citara Systems has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Citara Systems have ?

Citara Systems has an estimated 40,794 peer or competitor companies worldwide.

What types of cybersecurity incidents has Citara Systems faced ?

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

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Citara Systems

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738

/1000

Moderate

763

/1000

Fair

Citara Systems Vendor Cyber Rating & Cyber Score

citarasystems.com

Add Your Compliance Badge

Citara Systems built its reputation by providing IT management services and support from a business perspective. We've been doing IT right for more than 14 years, as a regional IT services leader headquartered in Marlborough, Massachusetts and serving customers all over Massachusetts and neighboring states. We're accountable for quantifying and measuring the cost savings, business productivity gains, sales or customer service improvements. With Citara Systems as your single point of contact for all things IT, you can: •Enjoy greater productivity - less downtime translates into more work time •Concentrate on your core business - while we handle all of your technology needs •Focus on new opportunities - with technology that grows as your

Citara Systems A.I CyberSecurity Scoring

Scoring History

Citara Systems

Citara Systems CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Citara Systems

Cyber Attack

5/2025

CIT546050725

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A.I.

Citara Systems 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 Citara Systems

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

No incidents recorded for Citara Systems in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Citara Systems in 2026.

Incident Types Citara Systems vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Citara Systems in 2026.

Incident History - Citara Systems (X = Date, Y = Severity)

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SUBSIDIARY

Citara Systems Subsidiaries

Parent Company

Citara Systems

IT Services and IT Consulting

Website: http://www.citarasystems.com

Company Size: 11-50 employees

No subsidiary data available for this company.

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NEWS

Citara Systems 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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