What is the official website of Ecobank International SA ?

The official website of Ecobank International SA is https://ecobank.com/corporate-investment-banking/ebi.

What is Ecobank International SA's cybersecurity risk score?

Ecobank International SA has an AI-generated cybersecurity risk score of 753 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Ecobank International SA experienced?

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

Has Ecobank International SA been affected by any supply chain cyber incidents ?

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

Does Ecobank International SA have SOC 2 Type 1 certification ?

According to Rankiteo, Ecobank International SA is not certified under SOC 2 Type 1.

Does Ecobank International SA have SOC 2 Type 2 certification ?

According to Rankiteo, Ecobank International SA does not hold a SOC 2 Type 2 certification.

Does Ecobank International SA comply with GDPR ?

According to Rankiteo, Ecobank International SA is not listed as GDPR compliant.

Does Ecobank International SA have PCI DSS certification ?

According to Rankiteo, Ecobank International SA does not currently maintain PCI DSS compliance.

Does Ecobank International SA comply with HIPAA ?

According to Rankiteo, Ecobank International SA is not compliant with HIPAA regulations.

Does Ecobank International SA have ISO 27001 certification ?

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

Which industry does Ecobank International SA operate in ?

Ecobank International SA operates primarily in the Banking industry.

How many employees does Ecobank International SA have ?

Ecobank International SA employs approximately 101 people worldwide.

Does Ecobank International SA own any subsidiaries ?

Ecobank International SA presently has no subsidiaries across any sectors.

How many LinkedIn followers does Ecobank International SA have ?

Ecobank International SA's official LinkedIn profile has approximately 2,744 followers.

What is the NAICS classification code for Ecobank International SA ?

Ecobank International SA is classified under the NAICS code 52211, which corresponds to Commercial Banking.

Does Ecobank International SA have a Crunchbase profile ?

No, Ecobank International SA does not have a profile on Crunchbase.

Does Ecobank International SA have a LinkedIn profile ?

Yes, Ecobank International SA maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/ecobank-international-sa.

How many cybersecurity incidents has Ecobank International SA experienced ?

As of June 23, 2026, Rankiteo reports that Ecobank International SA has not experienced any cybersecurity incidents.

How many peer or competitor companies does Ecobank International SA have ?

Ecobank International SA has an estimated 7,392 peer or competitor companies worldwide.

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753

/1000

Fair

778

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Fair

Ecobank International SA Vendor Cyber Rating & Cyber Score

ecobank.com

Add Your Compliance Badge

La filiale EBI SA - Ecobank International a été créée à Paris en 2008 pour être la tête de pont du développement du groupe Ecobank à l’international et devenir une référence dans le financement du commerce international et la gestion des flux financiers entre l’Afrique et le reste du monde.

EIS A.I CyberSecurity Scoring

Scoring History

EIS

Ecobank International SA CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

EIS 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 EIS

Incidents vs Banking Industry Avg (This Year)

No incidents recorded for Ecobank International SA in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Ecobank International SA in 2026.

Incident Types EIS vs Banking Industry Avg (This Year)

No incidents recorded for Ecobank International SA in 2026.

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

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SUBSIDIARY

Ecobank International SA Subsidiaries

EIS

Banking

Website: https://ecobank.com/corporate-investment-banking/ebi

Company Size: 101

Ecobank Transnational IncorporatedFinancial Services

Ecobank Corporate and Investment BankingBanking

Ecobank SénégalBanking

Ecobank RDCBanking

Ecobank CameroonBanking

Ecobank Côte d'IvoireFinancial Services

Ecobank Ghana PLCFinancial Services

Ecobank GuinéeBanking

Ecobank NigeriaFinancial Services

Ecobank UgandaFinancial Services

Ecobank BurkinaBanking

Ecobank GabonBanking

Ecobank Kenya LimitedBanking

Ecobank TchadBanking

Ecobank MaliBanking

Ecobank RwandaBanking

Ecobank TanzaniaBanking

ECOBANK BENIN LIMITEDFinancial Services

Ecobank LiberiaBanking

Ecobank Guiné-BissauBanking

Ecobank Gambia LimitedFinancial Services

Ecobank Guinea EcuatorialBanking

Ecobank Cape VerdeBanking

ECOBANK GUINE-BISSAU SABanking

Ecobank Uganda LimitedBanking

EcobankTogoBanking

Ecobank ZambiaFinancial Services

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NEWS

Ecobank International SA 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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