What is the official website of Seeing Machines ?

The official website of Seeing Machines is https://seeingmachines.com.

What is Seeing Machines's cybersecurity risk score?

Seeing Machines has an AI-generated cybersecurity risk score of 644 out of 1000, indicating a Poor security posture according to Rankiteo's assessment.

How many security incidents has Seeing Machines experienced?

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

Has Seeing Machines been affected by any supply chain cyber incidents ?

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

Does Seeing Machines have SOC 2 Type 1 certification ?

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

Does Seeing Machines have SOC 2 Type 2 certification ?

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

Does Seeing Machines comply with GDPR ?

According to Rankiteo, Seeing Machines is not listed as GDPR compliant.

Does Seeing Machines have PCI DSS certification ?

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

Does Seeing Machines comply with HIPAA ?

According to Rankiteo, Seeing Machines is not compliant with HIPAA regulations.

Does Seeing Machines have ISO 27001 certification ?

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

Which industry does Seeing Machines operate in ?

Seeing Machines operates primarily in the IT Services and IT Consulting industry.

How many employees does Seeing Machines have ?

Seeing Machines employs approximately 422 people worldwide.

Does Seeing Machines own any subsidiaries ?

Seeing Machines presently has no subsidiaries across any sectors.

How many LinkedIn followers does Seeing Machines have ?

Seeing Machines's official LinkedIn profile has approximately 16,563 followers.

What is the NAICS classification code for Seeing Machines ?

Seeing Machines is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does Seeing Machines have a Crunchbase profile ?

Yes, Seeing Machines has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/seeing-machines.

Does Seeing Machines have a LinkedIn profile ?

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

How many cybersecurity incidents has Seeing Machines experienced ?

As of August 29, 2026, Rankiteo reports that Seeing Machines has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Seeing Machines have ?

Seeing Machines has an estimated 41,462 peer or competitor companies worldwide.

What types of cybersecurity incidents has Seeing Machines faced ?

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

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Seeing Machines

Boost Score +25 with badge (5 left)

644

/1000

Poor

669

/1000

Weak

Seeing Machines Vendor Cyber Rating & Cyber Score

seeingmachines.com

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Add Your Compliance Badge

Seeing Machines is a global company headquartered in Canberra, Australia delivering safety technology to transport industries across the world. An industry leader in computer vision technologies which enable machines to see, understand and assist people, Seeing Machines’ machine learning vision platform has the know-how to deliver real-time identification and understanding of drivers through AI analysis of heads, faces and eyes. This insight enables Driver Monitoring System (DMS) technology, which monitors driver and operator attention state including the detection of drowsiness and distraction. Seeing Machines develops DMS for the Automotive, Commercial Fleet, Aviation, Rail and Off-Road markets. The company works with some of the

Seeing Machines A.I CyberSecurity Scoring

Scoring History

Seeing Machines

Seeing Machines CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Seeing Machines

Ransomware

100

3/2026

SEE1775622455

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A.I.

Seeing Machines 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 Seeing Machines

Incidents vs IT Services and IT Consulting Industry Avg (This Year)

Seeing Machines has 32.89% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs All-Companies Average (This Year)

Seeing Machines has 2.91% fewer incidents than the average of all companies with at least one recorded incident.

Incident Types Seeing Machines vs IT Services and IT Consulting Industry Avg (This Year)

Seeing Machines 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 - Seeing Machines (X = Date, Y = Severity)

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SUBSIDIARY

Seeing Machines Subsidiaries

Parent Company

Seeing Machines

IT Services and IT Consulting

Website: https://seeingmachines.com

Company Size: 201-500 employees

No subsidiary data available for this company.

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NEWS

Seeing Machines CyberSecurity News

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

December 18, 2025 01:29 AM

Seeing Machines Technical Paper Series on Non-Fatigue Impairment launched

Alcohol-related driver impairment remains a key factor in road accidents globally as current roadside strategies don't go far enough Seeing...

Read Article

December 18, 2025 01:18 AM

Seeing Machines challenges BAC with in-vehicle tech

Seeing Machines says BAC tests miss real-time alcohol risk and backs in-vehicle driver monitoring to capture shifting impairment behind the...

Read Article

December 17, 2025 07:10 AM

Seeing Machines launches technical paper series on driver intoxication

CANBERRA - Seeing Machines Limited (LSE:SEE) has released the first part of a new technical paper series focused on detecting non-fatigue...

Read Article

December 04, 2025 11:32 AM

Seeing Machines’ latest Guardian Insights report reveals ‘persistent fatigue and distraction risks’ across Australia’s commercial transport and logistics sectors

Canberra-based global vision-based monitoring technology company Seeing Machines has released its latest Guardian Insights Report,...

Read Article

December 04, 2025 08:00 AM

Several Insiders Invested In Seeing Machines Flagging Positive News

Usually, when one insider buys stock, it might not be a monumental event. But when multiple insiders are buying like...

Read Article

November 17, 2025 08:00 AM

Seeing Machines introduces “attention-sharing” distraction-detection for commercial fleets

Press Release, 17 November 2025. Australian tech firm Seeing Machines has launched a groundbreaking feature called “attention sharing” in...

Read Article

November 16, 2025 08:00 AM

Connected Car News: IonQ, U of Chicago, LoJack, Seeing Machines, Bosch, Teradar & Harman

In connected car news are IonQ, University of Chicago, LoJack, Seeing Machines, Bosch, Teradar and Harman. IonQ & U of Chicago Launch IonQ...

Read Article

November 13, 2025 08:00 AM

Seeing Machines’ Guardian Gen 3 targets micro-distractions in fleets

Seeing Machines' Guardian Gen 3 introduces AI-driven attention sharing to detect micro-distractions, enhancing safety across commercial...

Read Article

November 13, 2025 02:56 AM

Seeing Machines launches world-first ‘attention sharing’ feature for enhanced distraction detection capability in commercial fleets

COMPANY NEWS: Seeing Machines Limited, the advanced computer vision technology company that designs AI-powered operator monitoring systems...

Read Article

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-55867

SUMMARY

Graylog is a free and open log management platform. From 6.2.0 until 6.3.12, 7.0.7, and 7.1.2, the DELETE /users/{userId}/tokens/{idOrToken} endpoint implemented by UsersResource.revokeToken() in graylog2-server/src/main/java/org/graylog2/rest/resources/users/UsersResource.java checks USERS_TOKENREMOVE permission against the attacker-controlled userId path parameter before resolving the token selected by idOrToken. An authenticated user can provide an authorized userId while accessTokenService.loadById() or accessTokenService.load() resolves a token belonging to another user, including a service account or administrator, after which accessTokenService.destroy() deletes that token without checking AccessToken.getUserName(). The issue does not expose token contents, but unauthorized deletion causes integrity impact and can disrupt access-token-based integrations. This issue is fixed in versions 6.3.12, 7.0.7, and 7.1.2.

Published

Date2026-08-28

Updated

Date2026-08-28

RISK INFORMATION (Score: )

cvss4

Base Score: 5.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:L/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-2026-55860

SUMMARY

MariaDB Connector/R2DBC is a non-blocking MariaDB and MySQL client implemented in Java. Prior to 1.4.1, org.mariadb:r2dbc-mariadb does not gate clear-text password authentication plugins on transport encryption because the AuthenticationPlugin interface has no capability for a plugin to require a secure connection. A hostile or man-in-the-middle MariaDB server can send an AuthSwitchRequest naming mysql_clear_password or dialog (PAM) over a plain-TCP unencrypted connection, and AuthenticationFlow permits ClearPasswordPluginFlow or PamPluginFlow to return the user's password as cleartext bytes on the wire. The disclosed credentials can subsequently be used to authenticate directly to the database server. This issue is fixed in version 1.4.1.

Published

Date2026-08-28

Updated

Date2026-08-28

RISK INFORMATION (Score: 5.9)

cvss3

Base Score: 5.9

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N

Impact Score

3.6

Exploitability

2.2

REFERENCES

CVE-2026-55859

SUMMARY

MariaDB Connector/R2DBC is a non-blocking MariaDB and MySQL client implemented in Java. Prior to 1.4.1, org.mariadb:r2dbc-mariadb encodes and decodes all character data under the assumption that the connection character set is UTF-8. A server can announce a mid-session change to character_set_client through the OK-packet session-state-tracking mechanism, including through SET NAMES executed by a stored routine or trigger, server configuration, or a hostile or man-in-the-middle server. If the new character set is not UTF-8, the driver continues to exchange UTF-8 while the server interprets the same bytes under a different encoding, causing silent data corruption and a client/server charset-confusion mismatch that can defeat byte-wise quoting or escaping. The fix accepts only utf8, utf8mb3, or utf8mb4 after initialization; any other value raises R2dbcNonTransientResourceException with SQLState 08000 and closes the connection. This issue is fixed in version 1.4.1.

Published

Date2026-08-28

Updated

Date2026-08-28

RISK INFORMATION (Score: 5.9)

cvss3

Base Score: 5.9

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N

Impact Score

3.6

Exploitability

2.2

REFERENCES

CVE-2026-55858

SUMMARY

MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. Prior to 2.7.14, 3.3.5, 3.4.3, and 3.5.9, the connector encodes and decodes protocol text and performs client-side escaping under the assumption that the connection character set is UTF-8. The server can report a mid-session change to character_set_client through OK-packet session-state tracking, including a change caused by SET NAMES, a stored routine or trigger, server configuration, or a hostile server. If character_set_client changes to a non-UTF-8 value, the driver continues to read and write UTF-8 while the server interprets the same bytes under another encoding, causing silent data corruption and a client/server charset-confusion mismatch that can defeat byte-wise quoting or escaping. The fix accepts only utf8, utf8mb3, or utf8mb4 after initialization; any other value causes SQLException with SQLState 08000 and closes the connection. This issue is fixed in versions 2.7.14, 3.3.5, 3.4.3, and 3.5.9.

Published

Date2026-08-28

Updated

Date2026-08-28

RISK INFORMATION (Score: 5.9)

cvss3

Base Score: 5.9

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N

Impact Score

3.6

Exploitability

2.2

REFERENCES

CVE-2026-55857

SUMMARY

MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. Prior to 2.7.14, 3.3.5, 3.4.3, and 3.5.9, PAM dialog authentication can be coerced into transmitting the account password over an insecure connection. The mysql_clear_password plugin is gated behind a secure transport, but the sibling PAM handler SendPamAuthPacketFactory, named dialog by the server, does not declare that requirement and inherits the default secure-required value false; older branches implement the same affected behavior in SendPamAuthPacket. A hostile or man-in-the-middle server can send an Authentication Switch Request for dialog over plain TCP, causing the driver to return the user's password in cleartext when sslMode=DISABLE and restrictedAuth=null, which is the default configuration. Properly verified TLS and local Unix sockets are not exposed to this transport vector. This issue is fixed in versions 2.7.14, 3.3.5, 3.4.3, and 3.5.9.

Published

Date2026-08-28

Updated

Date2026-08-28

RISK INFORMATION (Score: 5.9)

cvss3

Base Score: 5.9

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N

Impact Score

3.6

Exploitability

2.2

REFERENCES

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