What is the official website of AVG Technologies ?

The official website of AVG Technologies is http://www.avg.com.

What is AVG Technologies's cybersecurity risk score?

AVG Technologies has an AI-generated cybersecurity risk score of 754 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has AVG Technologies experienced?

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

Has AVG Technologies been affected by any supply chain cyber incidents ?

According to Rankiteo, AVG Technologies has been affected by a supply chain cyber incident involving Snowflake, with the incident ID 23A1764346412.

Does AVG Technologies have SOC 2 Type 1 certification ?

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

Does AVG Technologies have SOC 2 Type 2 certification ?

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

Does AVG Technologies comply with GDPR ?

According to Rankiteo, AVG Technologies is not listed as GDPR compliant.

Does AVG Technologies have PCI DSS certification ?

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

Does AVG Technologies comply with HIPAA ?

According to Rankiteo, AVG Technologies is not compliant with HIPAA regulations.

Does AVG Technologies have ISO 27001 certification ?

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

Which industry does AVG Technologies operate in ?

AVG Technologies operates primarily in the Software Development industry.

How many employees does AVG Technologies have ?

AVG Technologies employs approximately 379 people worldwide.

Does AVG Technologies own any subsidiaries ?

AVG Technologies presently has no subsidiaries across any sectors.

How many LinkedIn followers does AVG Technologies have ?

AVG Technologies's official LinkedIn profile has approximately 15,630 followers.

What is the NAICS classification code for AVG Technologies ?

AVG Technologies is classified under the NAICS code 5112, which corresponds to Software Publishers.

Does AVG Technologies have a Crunchbase profile ?

Yes, AVG Technologies has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/avg.

Does AVG Technologies have a LinkedIn profile ?

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

How many cybersecurity incidents has AVG Technologies experienced ?

As of June 23, 2026, Rankiteo reports that AVG Technologies has experienced 10 cybersecurity incidents.

How many peer or competitor companies does AVG Technologies have ?

AVG Technologies has an estimated 30,163 peer or competitor companies worldwide.

What types of cybersecurity incidents has AVG Technologies faced ?

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

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AVG Technologies

Boost Score +25 with badge (5 left)

754

/1000

Fair

779

/1000

Fair

AVG Technologies Vendor Cyber Rating & Cyber Score

avg.com

cb in

Add Your Compliance Badge

AVG Technologies was acquired in 2016 by Avast. Please follow us over at Avast: https://www.linkedin.com/company/avast/ AVG delivers products and services to help make your digital world simpler to navigate, easier to secure, and more enjoyable to live in. Using the latest technologies in protection, privacy, and performance, our focus is on providing you with a secure, safe and frustration-free digital life. The AVG portfolio offers solutions for desktops and mobile devices on popular platforms such as Windows, iOS, Android and Mac—providing a wide range of solutions for individuals, families, and small businesses alike. With headquarters in Amsterdam, AVG operates globally with 14 offices across Europe, North America, the Middle East,

AVG Technologies A.I CyberSecurity Scoring

Scoring History

AVG Technologies

AVG Technologies CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Avast

Cyber Attack

2/2026

AVA1772015041

Norton

Breach

11/2025

Snowflake

23A1764346412

Norton

Cyber Attack

1/2025

NOR1778862436

AVG Technologies

Vulnerability

100

11/2024

AVA000112624

AVG Technologies

Data Leak

6/2023

GEN111718923

AVG Technologies

Data Leak

01/2023

NOR225881023

AVG Technologies

Breach

12/2022

NOR153072525

AVG Technologies

Ransomware

100

4/2022

AVA915071024

AVG Technologies

Vulnerability

07/2018

NOR013101122

AVG Technologies

Data Leak

5/2014

AVA221624123

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A.I.

AVG Technologies 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 AVG Technologies

Incidents vs Software Development Industry Avg (This Year)

No incidents recorded for AVG Technologies in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for AVG Technologies in 2026.

Incident Types AVG Technologies vs Software Development Industry Avg (This Year)

No incidents recorded for AVG Technologies in 2026.

Incident History - AVG Technologies (X = Date, Y = Severity)

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SUBSIDIARY

AVG Technologies Subsidiaries

AVG Technologies

Software Development

Website: http://www.avg.com

Company Size: 379

AvastComputer and Network Security

GenComputer and Network Security

Norton LifeLock Benefit SolutionsComputer and Network Security

NortonLifeLockComputer and Network Security

Avira (Part of Gen™)Computer and Network Security

Reputation Defender by NortonSoftware Development

CCleanerIT Services and IT Consulting

NortonSoftware Development

Avast BusinessPočítačová a síťová bezpečnost

CyberSec&AI ConnectedSoftware Development

AVG Business by AvastPočítačová a síťová bezpečnost

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NEWS

AVG Technologies CyberSecurity News

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

January 30, 2026 01:10 PM

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January 06, 2026 08:00 AM

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TechRadar Pro have tested and ranked all the best antivirus software: Bitdefender remains the top choice.

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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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