What is the official website of Embajada de los Estados Unidos en Argentina ?

The official website of Embajada de los Estados Unidos en Argentina is https://ar.usembassy.gov/es/.

What is Embajada de los Estados Unidos en Argentina's cybersecurity risk score?

Embajada de los Estados Unidos en Argentina has an AI-generated cybersecurity risk score of 762 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Embajada de los Estados Unidos en Argentina experienced?

According to Rankiteo, Embajada de los Estados Unidos en Argentina currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Embajada de los Estados Unidos en Argentina been affected by any supply chain cyber incidents ?

According to Rankiteo, Embajada de los Estados Unidos en Argentina has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Embajada de los Estados Unidos en Argentina have SOC 2 Type 1 certification ?

According to Rankiteo, Embajada de los Estados Unidos en Argentina is not certified under SOC 2 Type 1.

Does Embajada de los Estados Unidos en Argentina have SOC 2 Type 2 certification ?

According to Rankiteo, Embajada de los Estados Unidos en Argentina does not hold a SOC 2 Type 2 certification.

Does Embajada de los Estados Unidos en Argentina comply with GDPR ?

According to Rankiteo, Embajada de los Estados Unidos en Argentina is not listed as GDPR compliant.

Does Embajada de los Estados Unidos en Argentina have PCI DSS certification ?

According to Rankiteo, Embajada de los Estados Unidos en Argentina does not currently maintain PCI DSS compliance.

Does Embajada de los Estados Unidos en Argentina comply with HIPAA ?

According to Rankiteo, Embajada de los Estados Unidos en Argentina is not compliant with HIPAA regulations.

Does Embajada de los Estados Unidos en Argentina have ISO 27001 certification ?

According to Rankiteo,Embajada de los Estados Unidos en Argentina is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Embajada de los Estados Unidos en Argentina operate in ?

Embajada de los Estados Unidos en Argentina operates primarily in the Government Relations industry.

How many employees does Embajada de los Estados Unidos en Argentina have ?

Embajada de los Estados Unidos en Argentina employs approximately None employees people worldwide.

Does Embajada de los Estados Unidos en Argentina own any subsidiaries ?

Embajada de los Estados Unidos en Argentina presently has no subsidiaries across any sectors.

How many LinkedIn followers does Embajada de los Estados Unidos en Argentina have ?

Embajada de los Estados Unidos en Argentina's official LinkedIn profile has approximately 28,841 followers.

Does Embajada de los Estados Unidos en Argentina have a Crunchbase profile ?

No, Embajada de los Estados Unidos en Argentina does not have a profile on Crunchbase.

Does Embajada de los Estados Unidos en Argentina have a LinkedIn profile ?

Yes, Embajada de los Estados Unidos en Argentina maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/embajadaeeuuarg.

How many cybersecurity incidents has Embajada de los Estados Unidos en Argentina experienced ?

As of June 23, 2026, Rankiteo reports that Embajada de los Estados Unidos en Argentina has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Embajada de los Estados Unidos en Argentina have ?

Embajada de los Estados Unidos en Argentina has an estimated 453 peer or competitor companies worldwide.

What types of cybersecurity incidents has Embajada de los Estados Unidos en Argentina faced ?

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

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EDLEUEA

Boost Score +25 with badge (5 left)

762

/1000

Fair

787

/1000

Fair

Embajada de los Estados Unidos en Argentina Vendor Cyber Rating & Cyber Score

usembassy.gov

Add Your Compliance Badge

La Embajada representa al gobierno de los Estados Unidos en Argentina. Su misión es fortalecer el vínculo entre ambos países y entre sus ciudadanos. TOU: http://ow.ly/8ZN550OzA28 Términos y condiciones de uso: http://ow.ly/6vDC50FATNm

EDLEUEA A.I CyberSecurity Scoring

Scoring History

EDLEUEA

Embajada de los Estados Unidos en Argentina CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Embajada de los Est...

Vulnerability

100

7/2024

DOS704071524

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A.I.

EDLEUEA 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 EDLEUEA

Incidents vs Government Relations Industry Avg (This Year)

No incidents recorded for Embajada de los Estados Unidos en Argentina in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Embajada de los Estados Unidos en Argentina in 2026.

Incident Types EDLEUEA vs Government Relations Industry Avg (This Year)

No incidents recorded for Embajada de los Estados Unidos en Argentina in 2026.

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

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SUBSIDIARY

Embajada de los Estados Unidos en Argentina Subsidiaries

EDLEUEA

Government Relations

Website: https://ar.usembassy.gov/es/

Company Size: None employees

U.S. Department of StateInternational Affairs

U.S. Embassy Dar es SalaamGovernment Relations Services

International Visitor Leadership Program (IVLP)Government Administration

World Expo USA PavilionEvents Services

US-BotschaftGovernment Administration

U.S. Mission to International Organizations in ViennaGovernment Administration

U.S. Mission to the UN Agencies for Food and Agriculture in RomeGovernment Administration

U.S. Embassy in BelgiumGovernment Administration

Office of the AUKUS Senior AdvisorGovernment Administration

The Fulbright ProgramInternational Affairs

U.S. Embassy and Consulates in BrazilGovernment Administration

U.S. Embassy ManaguaGovernment Relations Services

Diplomatic Security ServiceLaw Enforcement

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Embajada de los Estados Unidos en Argentina Similar Companies

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NEWS

Embajada de los Estados Unidos en Argentina 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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