What is the official website of Sygnia ?

The official website of Sygnia is https://www.sygnia.co.

What is Sygnia's cybersecurity risk score?

Sygnia has an AI-generated cybersecurity risk score of 323 out of 1000, indicating a Critical security posture according to Rankiteo's assessment.

How many security incidents has Sygnia experienced?

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

Has Sygnia been affected by any supply chain cyber incidents ?

According to Rankiteo, Sygnia has been affected by a supply chain cyber incident involving DigitalMint, with the incident ID SYGDIG1777357524.

Does Sygnia have SOC 2 Type 1 certification ?

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

Does Sygnia have SOC 2 Type 2 certification ?

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

Does Sygnia comply with GDPR ?

According to Rankiteo, Sygnia is not listed as GDPR compliant.

Does Sygnia have PCI DSS certification ?

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

Does Sygnia comply with HIPAA ?

According to Rankiteo, Sygnia is not compliant with HIPAA regulations.

Does Sygnia have ISO 27001 certification ?

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

Which industry does Sygnia operate in ?

Sygnia operates primarily in the Computer and Network Security industry.

How many employees does Sygnia have ?

Sygnia employs approximately 260 people worldwide.

Does Sygnia own any subsidiaries ?

Sygnia presently has no subsidiaries across any sectors.

How many LinkedIn followers does Sygnia have ?

Sygnia's official LinkedIn profile has approximately 26,168 followers.

What is the NAICS classification code for Sygnia ?

Sygnia is classified under the NAICS code 541514, which corresponds to Others.

Does Sygnia have a Crunchbase profile ?

No, Sygnia does not have a profile on Crunchbase.

Does Sygnia have a LinkedIn profile ?

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

How many cybersecurity incidents has Sygnia experienced ?

As of June 23, 2026, Rankiteo reports that Sygnia has experienced 4 cybersecurity incidents.

How many peer or competitor companies does Sygnia have ?

Sygnia has an estimated 4,005 peer or competitor companies worldwide.

What types of cybersecurity incidents has Sygnia faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Ransomware and Cyber Attack.

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Sygnia

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323

/1000

Critical

348

/1000

Critical

Sygnia Vendor Cyber Rating & Cyber Score

sygnia.co

Add Your Compliance Badge

Sygnia is a cyber technology and services company, providing high-end consulting and incident response support for organizations worldwide. Sygnia works with companies to proactively build their cyber resilience and to respond and defeat attacks within their networks. It is the trusted advisor and cyber security service provider of IT and security teams, senior managements and boards of leading organizations worldwide, including Fortune 100 companies. The company draws on top talent from the ranks of elite military technology units and from across the cyber industry. It applies technological supremacy, digital combat experience, data analytics and a business-driven mindset to cyber, to deliver military grade security to business.

Sygnia A.I CyberSecurity Scoring

Scoring History

Sygnia

Sygnia CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Sygnia

Ransomware

100

3/2026

SYGDIG177345504...

Sygnia

Cyber Attack

12/2023

SYG1767124211

Sygnia

Ransomware

100

4/2023

DigitalMint

SYGDIG177735752...

Sygnia

Cyber Attack

100

1/2016

SYG1781778300

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A.I.

Sygnia 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 Sygnia

Incidents vs Computer and Network Security Industry Avg (This Year)

Sygnia has 13.04% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs All-Companies Average (This Year)

Sygnia has 5.66% fewer incidents than the average of all companies with at least one recorded incident.

Incident Types Sygnia vs Computer and Network Security Industry Avg (This Year)

Sygnia reported 1 incidents this year: 0 cyber attacks, 1 ransomware, 0 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.

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

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SUBSIDIARY

Sygnia Subsidiaries

Parent Company

Sygnia

Computer and Network Security

Website: https://www.sygnia.co

Company Size: 201-500 employees

No subsidiary data available for this company.

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Sygnia Similar Companies

CrowdStrike

crowdstrike.com

CrowdStrike (Nasdaq: CRWD), a global cybersecurity leader, has redefined modern security with the world’s most advanced cloud-native platform for protecting critical areas of enterprise risk — endpoints and cloud workloads, identity and data. Powered by the CrowdStrike Security Cloud and world-class AI, the CrowdStrike Falcon® platform leverages real-time indicators of attack, threat intelligence, evolving adversary tradecraft and enriched telemetry from across the enterprise to deliver hyper-accurate detections, automated protection and remediation, elite threat hunting and prioritized observability of vulnerabilities. Purpose-built in the cloud with a single lightweight-agent architecture, the Falcon platform delivers rapid and scalable deployment, superior protection and performance, reduced complexity and immediate time-to-value. CrowdStrike: We stop breaches.

Palo Alto Networks

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NETWORK-SECURITY-SOLUTIONS

n-security.com

## Our core business We manage linux / unix server infrastructures and build the efficient and secure networking environments using hardware cutting edge technologies suited to the needs of the project and the client. We believe in quality, opposed to quantity. Our company consists of highly qualified, experienced people, who share a common passion of both server and network infrastructure management. ## Our principles We stated basic principles, that we see as crucial in successful delivery of a stable and secure network environment project: • we tend to give client what he needs, not what he wants • we believe in open communication with client • client is not our enemy • "strict" is for corporations, we believe in "flexible" • teamwork - share victory, share defeat ## What we do best We specialise in linux / unix server and large network environments management. We think, that every need deserves a custom solution, as in most of cases it is cheaper and easier, than a ready solution with after-integration pain. We deliver individual solutions, that best fulfill need of our clients. The impact is put always on high quality and technological innovation of the project. ## Technologies we use We use a set of technologies we think are best suitable for big projects and those we have experience with, although we do not limit ourselves to them only. We constantly seek for new horizons, new trends and test them, so when they become mature, we can make use of them in our work. Network Security Solutions is always in search of new possibilities. ## Our offer Linux / Unix servers and network Router / Switch management, from big complicated environments to smaller ones. We offer hosting on our servers as well as the ability to manage servers from our customers. We provide 24/7/365 monitoring for customers whose services we manage.

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NEWS

Sygnia CyberSecurity News

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

February 11, 2026 08:00 AM

Sygnia Uncovers Global ‘Fund Recovery’ Scam Network Impersonating Law Firms

Israeli cybersecurity firm Sygnia, which deals in incident response and cyber resilience, has uncovered a large-scale fund recovery scam...

Read Article

February 08, 2026 08:00 AM

Sygnia: Software Supply Chain Attacks Emerged as Key Intrusion Vector in Q4 2025

Israeli cybersecurity firm Sygnia has released a new threat intelligence report identifying software supply chain attacks as a primary...

Read Article

December 31, 2025 08:00 AM

US cybersecurity experts plead guilty to orchestrating ALPHV ransomware attacks

Two former cybersecurity professionals have admitted to using the ALPHV ransomware to extort US victims for personal gain.

Read Article

December 30, 2025 08:00 AM

Two US cyber experts plead guilty to cooperating with notorious ransomware gang

Two U.S. cybersecurity professionals have pleaded guilty after they were accused of working with a notorious ransomware gang to shake down...

Read Article

December 30, 2025 08:00 AM

US cybersecurity experts plead guilty to BlackCat ransomware attacks

Two former employees of cybersecurity incident response companies Sygnia and DigitalMint have pleaded guilty to targeting U.S. companies in...

Read Article

December 30, 2025 08:00 AM

Two cybersecurity employees plead guilty to carrying out ransomware attacks

Two former employees at cybersecurity firms have pleaded guilty to carrying out ALPHV / BlackCat ransomware attacks that targeted multiple...

Read Article

December 23, 2025 08:00 AM

Rogue employee of Chicago cybersecurity firm pleads guilty to $1.3 million ransomware hack

Kevin Tyler Martin, a ransomware threat negotiator for River North-based DigitalMint at the time, admitted to carrying out the 2023...

Read Article

December 21, 2025 08:00 AM

Former Israeli cybercompany employee pleads guilty to extorting millions from US companies

A former employee of the Israeli cybersecurity company Sygnia pleaded guilty to federal offences in the US for being involved in ransomware...

Read Article

December 18, 2025 08:00 AM

Ex-Cybersecurity Staff Plead Guilty for Moonlighting as Hackers

Two former employees of cybersecurity companies pleaded guilty on Thursday to federal crimes for launching their own ransomware attacks in a...

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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