What is the official website of TEKsystems ?

The official website of TEKsystems is https://www.teksystems.com.

What is TEKsystems's cybersecurity risk score?

TEKsystems has an AI-generated cybersecurity risk score of 709 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has TEKsystems experienced?

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

Has TEKsystems been affected by any supply chain cyber incidents ?

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

Does TEKsystems have SOC 2 Type 1 certification ?

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

Does TEKsystems have SOC 2 Type 2 certification ?

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

Does TEKsystems comply with GDPR ?

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

Does TEKsystems have PCI DSS certification ?

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

Does TEKsystems comply with HIPAA ?

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

Does TEKsystems have ISO 27001 certification ?

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

Which industry does TEKsystems operate in ?

TEKsystems operates primarily in the IT Services and IT Consulting industry.

How many employees does TEKsystems have ?

TEKsystems employs approximately 27,179 people worldwide.

Does TEKsystems own any subsidiaries ?

TEKsystems presently has no subsidiaries across any sectors.

How many LinkedIn followers does TEKsystems have ?

TEKsystems's official LinkedIn profile has approximately 1,301,175 followers.

What is the NAICS classification code for TEKsystems ?

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

Does TEKsystems have a Crunchbase profile ?

No, TEKsystems does not have a profile on Crunchbase.

Does TEKsystems have a LinkedIn profile ?

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

How many cybersecurity incidents has TEKsystems experienced ?

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

How many peer or competitor companies does TEKsystems have ?

TEKsystems has an estimated 40,790 peer or competitor companies worldwide.

What types of cybersecurity incidents has TEKsystems faced ?

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

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TEKsystems

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709

/1000

Moderate

734

/1000

Moderate

TEKsystems Vendor Cyber Rating & Cyber Score

teksystems.com

Add Your Compliance Badge

We’re TEKsystems and TEKsystems Global Services. We accelerate business transformation for our customers, so they can capitalize on change and master the momentum of technology. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies.

TEKsystems A.I CyberSecurity Scoring

Scoring History

TEKsystems

TEKsystems CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

TEKsystems

Ransomware

9/2025

ALLTEKAERMAR177...

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A.I.

TEKsystems 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 TEKsystems

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

No incidents recorded for TEKsystems in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for TEKsystems in 2026.

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

No incidents recorded for TEKsystems in 2026.

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

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SUBSIDIARY

TEKsystems Subsidiaries

TEKsystems

IT Services and IT Consulting

Website: https://www.teksystems.com

Company Size: 10,000+ employees

TEKsystems CanadaIT Services and IT Consulting

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NEWS

TEKsystems CyberSecurity News

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

March 16, 2026 06:57 PM

Should companies minimize their data intake?

How much personally identifiable information (PII) do companies actually need to store? Organizations are collecting massive amounts of data...

Read Article

February 02, 2026 08:00 AM

/C O R R E C T I O N -- Per Scholas/

In the news release, Per Scholas Launches New AI Solutions Developer Alumni Course with Support from TEKsystems - Innovative Upskilling...

Read Article

October 03, 2025 07:00 AM

Skilled AI and ML workers are the hottest commodity in the IT job market

Countless tech industry experts have warned that the rapid adoption of artificial intelligence will be a huge disruptor to the workforce,...

Read Article

February 27, 2025 08:00 AM

Enterprise AI strategy surges in importance for IT buyers

Organizations have sharply elevated the business importance of AI and machine learning technologies, according to Informa TechTarget's survey on 2025 IT...

Read Article

December 22, 2024 08:00 AM

Berkeley Cybersecurity Salaries: What Can You Expect to Earn?

Discover cybersecurity salaries in Berkeley, California. Uncover earnings for entry, mid, and senior levels in Berkeley's thriving job...

Read Article

November 04, 2024 08:00 AM

Channel Brief: Evergreen Acquires PCG IT, Netranom

Evergreen makes two more acquisitions, Climb partners with Fortra, Google Cloud and TEKsystems team up for AI and more.

Read Article

August 06, 2024 07:00 AM

Aware of what tech debt costs them, CIOs still can’t make it an IT priority

Talking about tech debt doesn't excite executives and board members, but CIOs can tackle it by tying legacy makeovers to more transformative projects.

Read Article

March 05, 2024 08:00 AM

TEKsystems’ Fifth Annual State of Digital Transformation Report Reveals New Drivers of Modernization for Today’s Tech Leaders

TEKsystems, a global provider of technology, business and talent solutions for more than 80% of the Fortune 500, today released its 2024...

Read Article

February 29, 2024 08:00 AM

MSSP Market News: Sourcepass, Big Green IT, Uptycs

Today's market news also covers BlueVoyant, TEKsystems, Prescriptive Data Solutions, Cynet, Compliance Scorecard, ConnectSecure, Deepwatch,...

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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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