What is the official website of ST Engineering - San Antonio Aerospace (SAA) ?

The official website of ST Engineering - San Antonio Aerospace (SAA) is https://stengg-aero.us/.

What is ST Engineering - San Antonio Aerospace (SAA)'s cybersecurity risk score?

ST Engineering - San Antonio Aerospace (SAA) has an AI-generated cybersecurity risk score of 752 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has ST Engineering - San Antonio Aerospace (SAA) experienced?

According to Rankiteo, ST Engineering - San Antonio Aerospace (SAA) currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has ST Engineering - San Antonio Aerospace (SAA) been affected by any supply chain cyber incidents ?

According to Rankiteo, ST Engineering - San Antonio Aerospace (SAA) has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does ST Engineering - San Antonio Aerospace (SAA) have SOC 2 Type 1 certification ?

According to Rankiteo, ST Engineering - San Antonio Aerospace (SAA) is not certified under SOC 2 Type 1.

Does ST Engineering - San Antonio Aerospace (SAA) have SOC 2 Type 2 certification ?

According to Rankiteo, ST Engineering - San Antonio Aerospace (SAA) does not hold a SOC 2 Type 2 certification.

Does ST Engineering - San Antonio Aerospace (SAA) comply with GDPR ?

According to Rankiteo, ST Engineering - San Antonio Aerospace (SAA) is not listed as GDPR compliant.

Does ST Engineering - San Antonio Aerospace (SAA) have PCI DSS certification ?

According to Rankiteo, ST Engineering - San Antonio Aerospace (SAA) does not currently maintain PCI DSS compliance.

Does ST Engineering - San Antonio Aerospace (SAA) comply with HIPAA ?

According to Rankiteo, ST Engineering - San Antonio Aerospace (SAA) is not compliant with HIPAA regulations.

Does ST Engineering - San Antonio Aerospace (SAA) have ISO 27001 certification ?

According to Rankiteo,ST Engineering - San Antonio Aerospace (SAA) is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does ST Engineering - San Antonio Aerospace (SAA) operate in ?

ST Engineering - San Antonio Aerospace (SAA) operates primarily in the Airlines and Aviation industry.

How many employees does ST Engineering - San Antonio Aerospace (SAA) have ?

ST Engineering - San Antonio Aerospace (SAA) employs approximately 226 people worldwide.

Does ST Engineering - San Antonio Aerospace (SAA) own any subsidiaries ?

ST Engineering - San Antonio Aerospace (SAA) presently has no subsidiaries across any sectors.

How many LinkedIn followers does ST Engineering - San Antonio Aerospace (SAA) have ?

ST Engineering - San Antonio Aerospace (SAA)'s official LinkedIn profile has approximately 7,350 followers.

What is the NAICS classification code for ST Engineering - San Antonio Aerospace (SAA) ?

ST Engineering - San Antonio Aerospace (SAA) is classified under the NAICS code 481, which corresponds to Air Transportation.

Does ST Engineering - San Antonio Aerospace (SAA) have a Crunchbase profile ?

No, ST Engineering - San Antonio Aerospace (SAA) does not have a profile on Crunchbase.

Does ST Engineering - San Antonio Aerospace (SAA) have a LinkedIn profile ?

Yes, ST Engineering - San Antonio Aerospace (SAA) maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/st-engineering-san-antonio-aerospace.

How many cybersecurity incidents has ST Engineering - San Antonio Aerospace (SAA) experienced ?

As of June 23, 2026, Rankiteo reports that ST Engineering - San Antonio Aerospace (SAA) has not experienced any cybersecurity incidents.

How many peer or competitor companies does ST Engineering - San Antonio Aerospace (SAA) have ?

ST Engineering - San Antonio Aerospace (SAA) has an estimated 3,816 peer or competitor companies worldwide.

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SESAA

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752

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Fair

777

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Fair

ST Engineering - San Antonio Aerospace (SAA) Vendor Cyber Rating & Cyber Score

stengg-aero.us

Add Your Compliance Badge

San Antonio Aerospace (SAA) is one of the leading aircraft MRO providers in North America.

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SESAA

ST Engineering - San Antonio Aerospace (SAA) CyberSecurity News & History

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A.I.

SESAA Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

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A.I Risk Score Likelihood 3 - 6 - 9 months

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Underwriter Stats for SESAA

Incidents vs Airlines and Aviation Industry Avg (This Year)

No incidents recorded for ST Engineering - San Antonio Aerospace (SAA) in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for ST Engineering - San Antonio Aerospace (SAA) in 2026.

Incident Types SESAA vs Airlines and Aviation Industry Avg (This Year)

No incidents recorded for ST Engineering - San Antonio Aerospace (SAA) in 2026.

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

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SUBSIDIARY

ST Engineering - San Antonio Aerospace (SAA) Subsidiaries

Parent Company

SESAA

Airlines and Aviation

Website: https://stengg-aero.us/

Company Size: 1,001-5,000 employees

No subsidiary data available for this company.

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NEWS

ST Engineering - San Antonio Aerospace (SAA) CyberSecurity News

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

February 27, 2026 08:00 AM

Wife of UPS pilot sues San Antonio company over fatal jet crash

ST Engineering worked on the UPS jet in the weeks before it crashed and exploded after a jet engine fell off, killing 15 people in...

Read Article

January 28, 2026 08:00 AM

An engine fell off a UPS jet. Now a San Antonio firm is being sued.

The family of Carlos Arias Fernandez, one of those who died on the ground, is seeking more than $1 million from ST Engineering San Antonio...

Read Article

November 05, 2025 08:00 AM

UPS jet that crashed in Louisville had just been in San Antonio for maintenance

The MD-11 that exploded spent much of September and October at ST Engineering at San Antonio International Airport.

Read Article

July 17, 2025 07:00 AM

Trump’s Qatari luxury jet had towing problems at the San Antonio airport

The luxury jet that he wants as a temporary Air Force One was involved in towing mishap at San Antonio International Airport in April.

Read Article

May 29, 2025 07:00 AM

10 Aerospace Companies in San Antonio to Know

Explore these top aerospace companies in San Antonio involved in aviation, drone technology, defense and advanced research.

Read Article

March 07, 2025 08:00 AM

Female Lead in Aerospace

Wendy Hamadock, Crew Chief at Non-Destructive Testing (NDT) at San Antonio Aerospace (SAA), puts aircrafts through rigorous tests for airworthiness.

Read Article

April 26, 2022 02:45 AM

News - ST Engineering Celebrates 20 Years of Aircraft Maintenance Excellence in San Antonio

ST Engineering today celebrated the 20th anniversary of its aircraft maintenance operations in San Antonio, Texas, U.S., at a ceremony attended by local...

Read Article

June 08, 2020 07:00 AM

ST Engineering suffers cybersecurity breach at US subsidiary

Singapore Technologies Engineering Ltd (ST Engineering) has confirmed that its US subsidiary, VT San Antonio Aerospace, Inc.,...

Read Article

June 05, 2020 07:00 AM

US aerospace services provider breached by Maze Ransomware

The Maze Ransomware gang breached and successfully encrypted the systems of VT San Antonio Aerospace, as well as stole and leaked unencrypted files.

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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