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 June 30, 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 40,875 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 33.77% 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 5.66% 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-2026-8023

SUMMARY

Zephyr's HTTP server (subsys/net/lib/http) provides a static-filesystem resource type (HTTP_RESOURCE_TYPE_STATIC_FS, available when CONFIG_FILE_SYSTEM is enabled) that serves files from a configured root directory. Before this fix, both the HTTP/1 and HTTP/2 front-ends placed the raw, attacker-controlled request path into client-url_buffer (assembled in on_url() for HTTP/1 and copied verbatim from the :path pseudo-header for HTTP/2) without resolving ./.. segments. The static-FS handler then built the on-disk filename by directly concatenating the configured root with that raw URL (snprintk(fname, ..., "%s%s", static_fs_detail-fs_path, client-url_buffer) at http_server_http1.c:603 and http_server_http2.c:490) and opened it with fs_open(fname, FS_O_READ). Because the handler is reached via wildcard/leading-dir (fnmatch FNM_LEADING_DIR) or fallback resource matching, a request such as GET /<prefix/../../<file is dispatched to the handler and, after the underlying filesystem (e.g. LittleFS/FAT) resolves the .. segments, escapes the configured web root, letting an unauthenticated remote client read arbitrary readable files on the mounted volume (information disclosure). The HTTP server requires no TLS or authentication to reach this path. The fix adds http_server_remove_dot_segments(), which canonicalizes the path portion of the URL before resource lookup in both protocol handlers, neutralizing the traversal. Affects releases v4.0.0 through v4.4.0 for deployments that register a static-filesystem resource.

Published

Date2026-06-29

Updated

Date2026-06-29

RISK INFORMATION (Score: 7.5)

cvss3

Base Score: 7.5

Complexity: LOW

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

Impact Score

3.6

Exploitability

3.9

REFERENCES

CVE-2026-7656

SUMMARY

The IPv6 Neighbor Discovery handlers in subsys/net/ip/ipv6_nbr.c (handle_ra_input, handle_ns_input, handle_na_input) used an incorrect boolean expression that combined the RFC 4861 validity checks with the ICMPv6 code check using the wrong operator precedence: the form was '((length/hop/source/target checks) && (icmp_hdr-code != 0))'. Because every legitimate ND message carries ICMPv6 code 0, an attacker setting code == 0 (the normal value) caused the entire predicate to evaluate false, so the packet was never dropped and all of the other checks were silently skipped. The bypassed checks include the mandatory Hop Limit == 255 verification (which proves an ND packet originated on-link and was not forwarded) and, for Router Advertisements, the requirement that the source be a link-local address, as well as multicast-target sanity checks. As a result, an adjacent on-link attacker — and, because the Hop-Limit-255 guard is bypassed, potentially a remote/off-link attacker whose packets would otherwise be rejected — can have forged Router Advertisement, Neighbor Solicitation, and Neighbor Advertisement messages accepted. A forged RA lets the attacker reconfigure the victim's default router, on-link prefixes (SLAAC), MTU, reachable/retransmit timers, and (with CONFIG_NET_IPV6_RA_RDNSS) DNS servers, while forged NS/NA enable neighbor-cache poisoning, enabling man-in-the-middle, traffic redirection, and denial of service. The flaw is an input-validation/authentication weakness rather than a memory-safety issue: the underlying packet-parsing primitives (net_pkt_get_data, net_pkt_read, net_pkt_skip) are independently bounds-safe and the validated 'length' is the true buffer length, so skipping the length check causes no out-of-bounds access. The defect has existed since the logic was introduced in 2018 and shipped in all releases through v4.4.0; it is fixed by splitting the condition so any failing check drops the packet.

Published

Date2026-06-29

Updated

Date2026-06-29

RISK INFORMATION (Score: 8.1)

cvss3

Base Score: 8.1

Complexity: LOW

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

Impact Score

5.2

Exploitability

2.8

REFERENCES

CVE-2026-51219

SUMMARY

A heap buffer overflow in the HighPriorityASDUQueue_hasUnconfirmedIMessages function of lib60870 v2.3.3 to v2.3.6 allows attackers to cause a Denial of Service (DoS) via a crafted payload.

Published

Date2026-06-29

Updated

Date2026-06-29

RISK INFORMATION (Score: )

Impact Score

Exploitability

REFERENCES

CVE-2026-51218

SUMMARY

A heap buffer overflow in the TS7Worker::PerformFunctionWrite() function (/core/s7_server.cpp) of snap7 v1.4.3 allows attackers to cause a Denial of Service (DoS) via a crafted packet.

Published

Date2026-06-29

Updated

Date2026-06-29

RISK INFORMATION (Score: )

Impact Score

Exploitability

REFERENCES

CVE-2026-10648

SUMMARY

mcumgr_serial_process_frag() in subsys/mgmt/mcumgr/transport/src/serial_util.c calls net_buf_reset() on the result of smp_packet_alloc() before checking it for NULL. smp_packet_alloc() uses net_buf_alloc(K_NO_WAIT) against the shared MCUmgr packet pool (CONFIG_MCUMGR_TRANSPORT_NETBUF_COUNT, default 4), which returns NULL when the pool is exhausted. In default builds the __ASSERT_NO_MSG in net_buf_reset is a no-op, so net_buf_simple_reset writes through the NULL pointer (buf->len = 0; buf->data = buf->__buf), causing a fault/crash. The fragment data reaches this code from attacker-controlled bytes on the MCUmgr serial/UART/shell-console transports (smp_uart.c, smp_raw_uart.c, smp_shell.c), and a fresh buffer is allocated at the start of essentially every new packet. An attacker on the serial/console link can flood the transport to drive the 4-entry buffer pool to exhaustion and induce the NULL dereference, crashing the device (denial of service). The defect was introduced after the original MCUmgr rework and shipped in Zephyr v4.4.0. The fix moves the NULL check ahead of net_buf_reset.

Published

Date2026-06-29

Updated

Date2026-06-29

RISK INFORMATION (Score: 6.2)

cvss3

Base Score: 6.2

Complexity: LOW

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

Impact Score

3.6

Exploitability

2.5

REFERENCES

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