What is Progress DataDirect's cybersecurity risk score?

Progress DataDirect has an AI-generated cybersecurity risk score of 751 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Progress DataDirect experienced?

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

Has Progress DataDirect been affected by any supply chain cyber incidents ?

According to Rankiteo, Progress DataDirect has been affected by multiple supply chain cyber incidents. The affected supply chain sources and their corresponding incident IDs are: Citrix (Incident ID: CLO1774312166) Progress Software (Incident ID: PROASS1771035896) Progress Software (Incident ID: ERN447072725) Progress Software (Incident ID: PRO416050724) Progress ShareFile (Incident ID: PRO1006051224)

Does Progress DataDirect have SOC 2 Type 1 certification ?

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

Does Progress DataDirect have SOC 2 Type 2 certification ?

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

Does Progress DataDirect comply with GDPR ?

According to Rankiteo, Progress DataDirect is not listed as GDPR compliant.

Does Progress DataDirect have PCI DSS certification ?

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

Does Progress DataDirect comply with HIPAA ?

According to Rankiteo, Progress DataDirect is not compliant with HIPAA regulations.

Does Progress DataDirect have ISO 27001 certification ?

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

Which industry does Progress DataDirect operate in ?

Progress DataDirect operates primarily in the Software Development industry.

How many employees does Progress DataDirect have ?

Progress DataDirect employs approximately 43 people worldwide.

Does Progress DataDirect own any subsidiaries ?

Progress DataDirect presently has no subsidiaries across any sectors.

How many LinkedIn followers does Progress DataDirect have ?

Progress DataDirect's official LinkedIn profile has approximately 2,201 followers.

What is the NAICS classification code for Progress DataDirect ?

Progress DataDirect is classified under the NAICS code 5112, which corresponds to Software Publishers.

Does Progress DataDirect have a Crunchbase profile ?

No, Progress DataDirect does not have a profile on Crunchbase.

Does Progress DataDirect have a LinkedIn profile ?

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

How many cybersecurity incidents has Progress DataDirect experienced ?

As of June 23, 2026, Rankiteo reports that Progress DataDirect has experienced 9 cybersecurity incidents.

How many peer or competitor companies does Progress DataDirect have ?

Progress DataDirect has an estimated 30,159 peer or competitor companies worldwide.

What types of cybersecurity incidents has Progress DataDirect faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Vulnerability, Ransomware and Breach.

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Progress DataDirect

Boost Score +25 with badge (5 left)

751

/1000

Fair

776

/1000

Fair

Progress DataDirect Vendor Cyber Rating & Cyber Score

progress.com

Add Your Compliance Badge

Progress DataDirect offers unique data connectivity solutions to better integrate with high-performing ODBC, JDBC, ADO.NET and OData connectivity for any data source on any platform.

Progress DataDirect A.I CyberSecurity Scoring

Scoring History

Progress DataDirect

Progress DataDirect CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Progress Software

Vulnerability

6/2026

PRO1780921490

Progress Software

Vulnerability

100

4/2026

PRO1777883125

Cloud Software Grou...

Vulnerability

100

3/2026

Citrix

CLO1774312166

Progress Software

Breach

2/2026

Progress Softwa...

PROASS177103589...

Progress Software

Vulnerability

100

1/2024

PROCLO178187184...

Progress DataDirect

Breach

100

6/2023

PRO599215910032...

Progress Software

Breach

5/2023

Progress Softwa...

ERN447072725

Progress Software

Ransomware

100

05/2023

Progress Softwa...

PRO416050724

Progress ShareFile

Vulnerability

100

03/2023

Progress ShareF...

PRO1006051224

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A.I.

Progress DataDirect 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 Progress DataDirect

Incidents vs Software Development Industry Avg (This Year)

No incidents recorded for Progress DataDirect in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Progress DataDirect in 2026.

Incident Types Progress DataDirect vs Software Development Industry Avg (This Year)

No incidents recorded for Progress DataDirect in 2026.

Incident History - Progress DataDirect (X = Date, Y = Severity)

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SUBSIDIARY

Progress DataDirect Subsidiaries

Progress DataDirect

Software Development

Website: https://www.progress.com/datadirect-connectors?utm_source=linkedin&utm_medium=social-owned&utm_campaign=linkedinbio

Company Size: 1,001-5,000 employees

Progress SoftwareSoftware Development

Progress BulgariaSoftware Development

Progress SitefinitySoftware Development

Progress OpenEdgeSoftware Development

Progress WhatsUp GoldSoftware Development

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NEWS

Progress DataDirect CyberSecurity News

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

January 21, 2025 08:00 AM

PROGRESS SOFTWARE CORP /MA SEC 10-K Report

Progress Software Corporation reported robust financial performance for fiscal year 2024, driven by strategic acquisitions and growth in key product segments.

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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