What is the official website of U.S. Embassy Dar es Salaam ?

The official website of U.S. Embassy Dar es Salaam is https://tz.usembassy.gov.

What is U.S. Embassy Dar es Salaam's cybersecurity risk score?

U.S. Embassy Dar es Salaam has an AI-generated cybersecurity risk score of 757 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has U.S. Embassy Dar es Salaam experienced?

According to Rankiteo, U.S. Embassy Dar es Salaam currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has U.S. Embassy Dar es Salaam been affected by any supply chain cyber incidents ?

According to Rankiteo, U.S. Embassy Dar es Salaam has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does U.S. Embassy Dar es Salaam have SOC 2 Type 1 certification ?

According to Rankiteo, U.S. Embassy Dar es Salaam is not certified under SOC 2 Type 1.

Does U.S. Embassy Dar es Salaam have SOC 2 Type 2 certification ?

According to Rankiteo, U.S. Embassy Dar es Salaam does not hold a SOC 2 Type 2 certification.

Does U.S. Embassy Dar es Salaam comply with GDPR ?

According to Rankiteo, U.S. Embassy Dar es Salaam is not listed as GDPR compliant.

Does U.S. Embassy Dar es Salaam have PCI DSS certification ?

According to Rankiteo, U.S. Embassy Dar es Salaam does not currently maintain PCI DSS compliance.

Does U.S. Embassy Dar es Salaam comply with HIPAA ?

According to Rankiteo, U.S. Embassy Dar es Salaam is not compliant with HIPAA regulations.

Does U.S. Embassy Dar es Salaam have ISO 27001 certification ?

According to Rankiteo,U.S. Embassy Dar es Salaam is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does U.S. Embassy Dar es Salaam operate in ?

U.S. Embassy Dar es Salaam operates primarily in the Government Relations Services industry.

How many employees does U.S. Embassy Dar es Salaam have ?

U.S. Embassy Dar es Salaam employs approximately None employees people worldwide.

Does U.S. Embassy Dar es Salaam own any subsidiaries ?

U.S. Embassy Dar es Salaam presently has no subsidiaries across any sectors.

How many LinkedIn followers does U.S. Embassy Dar es Salaam have ?

U.S. Embassy Dar es Salaam's official LinkedIn profile has approximately 19,763 followers.

What is the NAICS classification code for U.S. Embassy Dar es Salaam ?

U.S. Embassy Dar es Salaam is classified under the NAICS code 541821, which corresponds to Others.

Does U.S. Embassy Dar es Salaam have a Crunchbase profile ?

No, U.S. Embassy Dar es Salaam does not have a profile on Crunchbase.

Does U.S. Embassy Dar es Salaam have a LinkedIn profile ?

Yes, U.S. Embassy Dar es Salaam maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/usembassytz.

How many cybersecurity incidents has U.S. Embassy Dar es Salaam experienced ?

As of June 23, 2026, Rankiteo reports that U.S. Embassy Dar es Salaam has experienced 1 cybersecurity incidents.

How many peer or competitor companies does U.S. Embassy Dar es Salaam have ?

U.S. Embassy Dar es Salaam has an estimated 1,615 peer or competitor companies worldwide.

What types of cybersecurity incidents has U.S. Embassy Dar es Salaam faced ?

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

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UEDES

Boost Score +25 with badge (5 left)

757

/1000

Fair

782

/1000

Fair

U.S. Embassy Dar es Salaam Vendor Cyber Rating & Cyber Score

usembassy.gov

Add Your Compliance Badge

Official account of the U.S. Ambassador to Tanzania. For Twitter follow me on https://twitter.com/USAmbTanzania. Terms of Use of this and other social media platforms are available at: https://www.state.gov/tou

UEDES A.I CyberSecurity Scoring

Scoring History

UEDES

U.S. Embassy Dar es Salaam CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

U.S. Embassy Dar es...

Vulnerability

100

7/2024

DOS704071524

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A.I.

UEDES 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 UEDES

Incidents vs Government Relations Services Industry Avg (This Year)

No incidents recorded for U.S. Embassy Dar es Salaam in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for U.S. Embassy Dar es Salaam in 2026.

Incident Types UEDES vs Government Relations Services Industry Avg (This Year)

No incidents recorded for U.S. Embassy Dar es Salaam in 2026.

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

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SUBSIDIARY

U.S. Embassy Dar es Salaam Subsidiaries

UEDES

Government Relations Services

Website: https://tz.usembassy.gov

Company Size: 51-200 employees

U.S. Department of StateInternational Affairs

The Fulbright ProgramInternational Affairs

U.S. Embassy and Consulates in BrazilGovernment Administration

Diplomatic Security ServiceLaw Enforcement

Ambassador Michael BattleGovernment Relations Services

US Mission to the UN Agencies in RomeGovernment Administration

US BotschaftGovernment Administration

U.S. Embassy ManaguaGovernment Relations Services

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U.S. Embassy Dar es Salaam Similar Companies

Australian Public Service

apsjobs.gov.au

The work of the Australian Public Service (APS) touches almost every part of Australian life. We provide policy advice to the Australian government on everything from national health to foreign policy. Work towards something greater than yourself. The Australian Public Service (APS) offers a clear purpose and meaningful work where you can make a positive impact in people's lives. Every employee contributes to improving outcomes for Australia and the Australian people. We do this by providing impartial and informed advice to the government of the day, implementing key policies and delivering services to the Australian community. The work we do touches all aspects of life including social welfare, the economy, national security and the environment. If you'd like to feel a strong connection to your work and you're committed, accountable and open to change, join us in shaping Australia's future. We work all over Australia and internationally to manage the delivery of programs, regulations and services that make a difference to Australia and its citizens. We aspire to be representative of the diverse Australian community, and lead the way for other sectors. Through the government, we work to shape Australia. Creating your future in the APS means making a real contribution, having a vast range of career opportunities and being supported in your role.

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NEWS

U.S. Embassy Dar es Salaam CyberSecurity News

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

December 01, 2025 07:11 AM

US Embassy in Tanzania Issues Travel Advisory for Its Citizens Ahead of December Protests

The US Embassy in Tanzania has issued a security alert warning American citizens of potential disruptions due to planned nationwide protest.

Read Article

November 05, 2025 08:00 AM

After body of US Special Forces officer was found at Dhaka’s Westin Hotel on Aug 31, hasty departure of American security contractor on Sept 5

Five days after a US Special Forces officer died under mysterious circumstances in a Dhaka top-end hotel room, an American national,...

Read Article

November 01, 2025 07:00 AM

US Embassy In Tanzania Elevates Its Travel Warning To Level 3

The US Embassy in Tanzania has elevated its travel warning to Level 3 as tensions rise in the country amid post-election violence.

Read Article

October 31, 2025 07:00 AM

US And Israel Among Countries That Have Issued Warnings Over Tanzania Unrest

The foreign missions of the United States, the United Kingdom, and Israel have issued travel and safety advisories to their nationals...

Read Article

June 14, 2025 07:00 AM

Getting a Job in Tech in Tanzania in 2025: The Complete Guide

Tanzania's tech sector in 2025 is booming, driven by internet growth from 6% (2012) to 37%, with $560M in investments and 215,000 tech jobs...

Read Article

April 17, 2025 07:00 AM

Tanzania's 2024 Internet Governance Report Reveals $1.4M Loss, Damage to Investors' Confidence and to Growth of Digital Economy

TMC/IGTWG report on Tanzania Internet Governance reveals $1.4M loss from disruptions, damaging investor confidence & digital economy growth.

Read Article

April 11, 2025 07:00 AM

Report: How to prevent arbitrary internet restrictions

With just months to go before Tanzania's 2025 General Election, a new report launched in Dar es Salaam is calling for judicial oversight...

Read Article

March 25, 2025 07:00 AM

Travel Advisory for Tanzania: How Increased Crime and Terrorism Threats Impact Tourists in Popular African Destinations

Travelers are advised to exercise caution when visiting Tanzania due to crime,terrorism threats,& regional risks, particularly in border...

Read Article

December 25, 2024 08:00 AM

Inside Tanzania's Thriving Tech Hub: Startups and Success Stories

Tanzania's tech hub is thriving due to a youthful population and supportive government policies. Internet access expanded from 6% in 2012 to over 37% by 2022,...

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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