Has Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy been affected by any supply chain cyber incidents ?

According to Rankiteo, Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

What is the NAICS classification code for Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy ?

Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy is classified under the NAICS code 92, which corresponds to Public Administration.

How many peer or competitor companies does Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy have ?

Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy has an estimated 12,888 peer or competitor companies worldwide.

What types of cybersecurity incidents has Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy faced ?

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

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AITOUDE

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757

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Fair

782

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Fair

Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy Vendor Cyber Rating & Cyber Score

energy.gov

Add Your Compliance Badge

Our mission is to Accelerate AI-enabled capabilities through strategic portfolio alignment while scaling Department-wide use cases that advance the agency’s core missions; advocate for program offices; lead responsible and trustworthy AI strategies; and expand public, private and international partnerships, policy and innovations – all in support of National AI Leadership and Innovation. To support delivery of clean energy, grid and infrastructure resilience, and prepare and respond to climate change challenges, and to ensure national and economic security our AI strategy centers on five goals. We enable and deliver Energy Justice, clean energy, grid and infrastructure resilience, climate change readiness and management, decarbonization,

AITOUDE A.I CyberSecurity Scoring

Scoring History

AITOUDE

Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Artificial Intellig...

Ransomware

100

7/2025

ENE338072525

Artificial Intellig...

Ransomware

06/2023

USD61125623

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A.I.

AITOUDE 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 AITOUDE

Incidents vs Government Administration Industry Avg (This Year)

No incidents recorded for Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy in 2026.

Incident Types AITOUDE vs Government Administration Industry Avg (This Year)

No incidents recorded for Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy in 2026.

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

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SUBSIDIARY

Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy Subsidiaries

AITOUDE

Government Administration

Website: https://www.energy.gov/ai

Company Size: 5

U.S. Department of Energy (DOE)Government Administration

Office of Nuclear Energy, U.S. Department of EnergyGovernment Administration

Office of Energy Efficiency and Renewable Energy (EERE), U.S. Department of EnergyGovernment Administration

Office of Indian Energy | U.S. Department of EnergyGovernment Administration

U.S. Department of Energy Office of ScienceGovernment Administration

DOE Office of Technology TransitionsGovernment Administration

Fossil Energy and Carbon Management Government Administration

Office of Electricity Government Administration

DOE Grid Deployment OfficeGovernment Administration

DOE State and Community Energy Programs (SCEP)Government Administration

DOE Office of Environmental ManagementEnvironmental Services

DOE Manufacturing & Energy Supply Chains Office (MESC)Government Administration

Office of Infrastructure, U.S. Department of EnergyGovernment Administration

Office of Energy Justice and EquityGovernment Administration

Arctic Energy Office, U.S. Dept. of EnergyGovernment Administration

Office of Legacy ManagementGovernment Administration

DOE Federal Energy Management Program (FEMP)Government Administration

Office of the Under Secretary for Science and Innovation, U.S. Department of EnergyGovernment Administration

Southeastern Power Administration SEPAHydroelectric Power Generation

U.S. Department of Energy - Grid Modernization InitiativeElectric Power Generation

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gouv.fr

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NEWS

Artificial Intelligence and Technology Office (AITO), U.S. Department of Energy CyberSecurity News

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

December 12, 2025 08:00 AM

Comments to Office of Science and Technology Policy Regarding a Strategic Plan for Advanced Manufacturing

ITIF commends the Trump administration for working to develop an up-to-date, coherent National Strategic Plan for Advanced Manufacturing.

Read Article

October 30, 2025 07:00 AM

DOE, FBI Tackle Legacy System Challenges with AI and Cloud

Federal leaders emphasized that data-driven platforms and secure-by-design systems are driving modernization forward.

Read Article

August 28, 2025 07:00 AM

The CAIOs Leading Responsible AI Development Across Government

New AI memos from the Trump administration prompt federal agencies to establish chief AI officers and OMB to launch a new CAIO AI Council.

Read Article

July 21, 2025 07:00 AM

Trump administration issues first cybersecurity executive order: What you need to know

On 6 June, the U.S. Trump administration issued its first cybersecurity-focused executive order and a Fact Sheet summarizing associated key...

Read Article

July 17, 2025 07:00 AM

State Department cyber diplomacy firings and changes threaten US defenses

Departures and restructuring will make it harder for the agency to pursue global policies that strengthen U.S. critical infrastructure,...

Read Article

June 26, 2025 07:00 AM

Unlocking AI's Grid Modernization Potential

Many transformational and mature AI tools provide near-term pathways for significant grid modernization.

Read Article

May 02, 2025 07:00 AM

President’s FY2026 Budget Request Puts Big Bets on Tech

OMB proposes significant reductions for civilian agencies, but earmarks funds for AI, space exploration and energy.

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February 06, 2025 08:00 AM

Elon Musk’s Demolition Crew

Elon Musk, the world's richest man, has been unleashed on federal agencies. ProPublica is attempting to document who is working with him and...

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January 30, 2025 08:00 AM

Managing the Risks of China’s Access to U.S. Data and Control of Software and Connected Technology

U.S. policymakers need to develop a more systematic and comprehensive framework for managing the data security and influence risks that come...

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-12175

SUMMARY

A vulnerability was detected in CodeAstro Student Attendance Management System 1.0. Impacted is an unknown function of the file /attendance-php/Admin/createStudents.php. Performing a manipulation of the argument admissionNumber results in sql injection. Remote exploitation of the attack is possible. The exploit is now public and may be used.

Published

Date2026-06-13

Updated

Date2026-06-13

RISK INFORMATION (Score: 4.7)

cvss2

Base Score: 5.8

Complexity: LOW

AV:N/AC:L/Au:M/C:P/I:P/A:P

cvss3

Base Score: 4.7

Complexity: LOW

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

cvss4

Base Score: 2.0

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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

3.4

Exploitability

1.2

REFERENCES

CVE-2026-12174

SUMMARY

A security vulnerability has been detected in D-Link DCS-935L 1.10.01. This issue affects the function snprintf of the file /web/cgi-bin/greece/rhea of the component HTTP Handler. Such manipulation of the argument data leads to format string. The attack may be launched remotely. The exploit has been disclosed publicly and may be used.

Published

Date2026-06-13

Updated

Date2026-06-13

RISK INFORMATION (Score: 8.8)

cvss2

Base Score: 9.0

Complexity: LOW

AV:N/AC:L/Au:S/C:C/I:C/A:C

cvss3

Base Score: 8.8

Complexity: LOW

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

cvss4

Base Score: 7.4

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/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

5.9

Exploitability

2.8

REFERENCES

CVE-2026-12183

SUMMARY

Nefteprodukttekhnika BUK TS-G Gas Station Automation System 2.9.1 through 2.10.2 on Linux contains an Improper Authentication vulnerability (CWE-287) in the system configuration module. The /php/ajax-login.php endpoint returns userid=1 (administrator) in response to any HTTP POST request that supplies arbitrary credentials (e.g., action=dologin&login=<any_value>&pwd=<any_value>), and subsequent privileged endpoints under /php/ajax-main.php and /modules/* do not validate a server-side session. A remote unauthenticated attacker can invoke any administrative action exposed by the configuration module, including reading and modifying user rules, fuel tank gauges, fuel dispensers, relays, cash registers, bank terminals, fuel cards, price and customer displays, cash collection, and pricing rules.

Published

Date2026-06-13

Updated

Date2026-06-13

RISK INFORMATION (Score: 9.8)

cvss3

Base Score: 9.8

Complexity: LOW

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

cvss4

Base Score: 9.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:L/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

5.9

Exploitability

3.9

REFERENCES

CVE-2026-6428

SUMMARY

SQL Injection in reports/catalogue_out.pl in Koha Community Koha through 22.11.37, 23.x, 24.x before 24.11.16, 25.05.x before 25.05.11, 25.11.x before 25.11.05, 26.05.x before 26.05.01, and 26.11.x before 26.11.00 allows an authenticated staff user with the Reports module flag to read arbitrary data from the Koha application database via the Filter URL parameter when the Criteria parameter matches /branchcode/. The vulnerable sink in sub calculate concatenates the unmodified Filter request parameter directly into a LIKE clause of the auxiliary $strsth2 statement and executes it via DBI without bound parameters: my $f = @$filters[0]; $f =~ s/\*/%/g; $strsth2 .= " AND $column LIKE '$f' "; This enables error-based SQL injection (e.g., via EXTRACTVALUE) and full read access to sensitive tables including borrowers (password hashes, 2FA secrets, PII), borrower_password_recovery, api_keys, and sessions. Proof of concept (error-based, single request): GET /cgi-bin/koha/reports/catalogue_out.pl?do_it=1&output=screen&Limit=10&Criteria=branchcode&Filter=x'+AND+EXTRACTVALUE(1,CONCAT(0x7e,VERSION(),0x7c,USER(),0x7c,DATABASE(),0x7e))--+- Cookie: CGISESSID=<LIBRARIAN_SESSION> The response body contains the DBI exception leaking the MariaDB version, database user, client IP, and database name, after which arbitrary data can be paged out using LIMIT n,1 / SUBSTRING(...). The vulnerable sink was introduced in commit 6bb77ae3e4 (2008-07-09); CVE-2015-4633 patched the same class in sibling files but did not generalise the fix to reports/catalogue_out.pl. Fixed in Koha 22.11.38, 24.11.16, 25.05.11, 25.11.05, 26.05.01, and 26.11.00 by replacing the raw concatenation with a parameterised placeholder.

Published

Date2026-06-13

Updated

Date2026-06-13

RISK INFORMATION (Score: 7.6)

cvss2

Base Score: 7.5

Complexity: LOW

AV:N/AC:L/Au:S/C:C/I:N/A:P

cvss3

Base Score: 7.6

Complexity: LOW

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

cvss4

Base Score: 5.6

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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:Y/R:X/V:C/RE:X/U:Amber

Impact Score

4.7

Exploitability

2.8

REFERENCES

CVE-2026-5513

SUMMARY

The Online Scheduling and Appointment Booking System – Bookly plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'bookly-customer-full-name' cookie in versions up to, and including, 27.2 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. Exploitation requires 'Remember personal information in cookies' setting to be enabled (disabled by default).

Published

Date2026-06-13

Updated

Date2026-06-13

RISK INFORMATION (Score: 7.2)

cvss3

Base Score: 7.2

Complexity: LOW

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

Impact Score

2.7

Exploitability

3.9

REFERENCES

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