What is the official website of ABA Litigation Section ?

The official website of ABA Litigation Section is http://americanbar.org/litigation.

What is ABA Litigation Section's cybersecurity risk score?

ABA Litigation Section has an AI-generated cybersecurity risk score of 755 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has ABA Litigation Section experienced?

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

Has ABA Litigation Section been affected by any supply chain cyber incidents ?

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

Does ABA Litigation Section have SOC 2 Type 1 certification ?

According to Rankiteo, ABA Litigation Section is not certified under SOC 2 Type 1.

Does ABA Litigation Section have SOC 2 Type 2 certification ?

According to Rankiteo, ABA Litigation Section does not hold a SOC 2 Type 2 certification.

Does ABA Litigation Section comply with GDPR ?

According to Rankiteo, ABA Litigation Section is not listed as GDPR compliant.

Does ABA Litigation Section have PCI DSS certification ?

According to Rankiteo, ABA Litigation Section does not currently maintain PCI DSS compliance.

Does ABA Litigation Section comply with HIPAA ?

According to Rankiteo, ABA Litigation Section is not compliant with HIPAA regulations.

Does ABA Litigation Section have ISO 27001 certification ?

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

Which industry does ABA Litigation Section operate in ?

ABA Litigation Section operates primarily in the Legal Services industry.

How many employees does ABA Litigation Section have ?

ABA Litigation Section employs approximately None employees people worldwide.

Does ABA Litigation Section own any subsidiaries ?

ABA Litigation Section presently has no subsidiaries across any sectors.

How many LinkedIn followers does ABA Litigation Section have ?

ABA Litigation Section's official LinkedIn profile has approximately 12,453 followers.

What is the NAICS classification code for ABA Litigation Section ?

ABA Litigation Section is classified under the NAICS code 5411, which corresponds to Legal Services.

Does ABA Litigation Section have a Crunchbase profile ?

No, ABA Litigation Section does not have a profile on Crunchbase.

Does ABA Litigation Section have a LinkedIn profile ?

Yes, ABA Litigation Section maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/aba-section-of-litigation.

How many cybersecurity incidents has ABA Litigation Section experienced ?

As of June 23, 2026, Rankiteo reports that ABA Litigation Section has experienced 2 cybersecurity incidents.

How many peer or competitor companies does ABA Litigation Section have ?

ABA Litigation Section has an estimated 7,897 peer or competitor companies worldwide.

What types of cybersecurity incidents has ABA Litigation Section faced ?

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

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ALS

Boost Score +25 with badge (5 left)

755

/1000

Fair

780

/1000

Fair

ABA Litigation Section Vendor Cyber Rating & Cyber Score

americanbar.org

Add Your Compliance Badge

The American Bar Association Litigation Section is the premier association for lawyers involved in litigation and trial practice. Legal professionals from all areas of practice turn to the ABA Litigation Section for member-only access to the latest news, information, and thinking on legal strategy, bringing all sides to one place to form a comprehensive view of the profession. *Please note, this is the LinkedIn account for the ABA Section of Litigation, and may not contain official ABA policy statements. For official ABA policy, please see the Twitter Account of the ABA President (https://twitter.com/ABAPresident). For information about our engagement policy, visit ambar.org/litigationsocial. The posts (and any corresponding materials)

ALS A.I CyberSecurity Scoring

Scoring History

ALS

ABA Litigation Section CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

ABA Litigation Sect...

Breach

100

04/2023

AME13529523

ABA Litigation Sect...

Breach

6/2018

AME854072825

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A.I.

ALS 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 ALS

Incidents vs Legal Services Industry Avg (This Year)

No incidents recorded for ABA Litigation Section in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for ABA Litigation Section in 2026.

Incident Types ALS vs Legal Services Industry Avg (This Year)

No incidents recorded for ABA Litigation Section in 2026.

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

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SUBSIDIARY

ABA Litigation Section Subsidiaries

ALS

Legal Services

Website: http://americanbar.org/litigation

Company Size: 501-1,000 employees

American Bar AssociationLegal Services

ABA Young Lawyers DivisionLegal Services

ABA for Law StudentsLaw Practice

ABA Business Law SectionLegal Services

American Bar Association Commission on ImmigrationLegal Services

American Bar Association ProBARLegal Services

ABA Children's Immigration Law AcademyLegal Services

Immigration Justice ProjectLegal Services

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ABA Litigation Section Similar Companies

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NEWS

ABA Litigation Section CyberSecurity News

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

November 26, 2025 06:49 PM

Volume of service-of-process requests among concerns reported by surveyed in-house legal professionals

The ABA Journal is read by half of the nation's 1 million lawyers every month. It covers the trends, people and finances of the legal...

Read Article

November 17, 2025 08:00 AM

Sara McLean, Partner, False Claims Act/Qui Tam Defense

Represents clients facing False Claims Act and civil fraud investigations and litigation, bringing to bear more than twenty-five years of...

Read Article

September 18, 2025 07:00 AM

CPT Group, Inc. Announces Free CLE Webinar on Cybersecurity Risks in Class Action Litigation

PRNewswire/ -- CPT Group, Inc., a leading provider of class action settlement administration services, is pleased to announce an upcoming...

Read Article

July 31, 2025 07:00 AM

Top Legal Trends to Follow (2024-2026)

List of important trends impacting the legal space in 2024 and beyond.

Read Article

July 29, 2025 07:00 AM

Legal issues with AI: Ethics, risks, and policy

Discover how generative AI is reshaping legal work and what attorneys must know about emerging legal risks, bias, and regulation.

Read Article

July 28, 2025 07:00 AM

Recent Cybersecurity FCA Settlement Demonstrates Heightened FCA Risk to Government Contractors

On July 14, 2025, the U.S. Department of Justice (DoJ) and General Services Administration (GSA) announced a $14.75 million settlement of...

Read Article

June 10, 2025 07:00 AM

Trump Administration Cyber Executive Order Revises Prior Administrations’ Requirements

The Trump Cyber EO rescinds and modifies select Biden administration guidance from EO 14144 covering several cybersecurity regimes.

Read Article

June 09, 2025 07:00 AM

White House Issues New Cybersecurity Executive Order

On June 6, 2025, President Trump issued an Executive Order (“Sustaining Select Efforts to Strengthen the Nation's Cybersecurity and Amending...

Read Article

April 22, 2025 07:00 AM

For cybersecurity, vulnerability management, 'think of it as brushing your teeth,' IT managing director says

The ABA Journal is read by half of the nation's 1 million lawyers every month. It covers the trends, people and finances of the legal...

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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