What is the official website of Fraud-Sense ?

The official website of Fraud-Sense is https://fraud-sense.com.

What is Fraud-Sense's cybersecurity risk score?

Fraud-Sense has an AI-generated cybersecurity risk score of 459 out of 1000, indicating a Critical security posture according to Rankiteo's assessment.

How many security incidents has Fraud-Sense experienced?

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

Has Fraud-Sense been affected by any supply chain cyber incidents ?

According to Rankiteo, Fraud-Sense has been affected by a supply chain cyber incident involving Fraud-Sense, with the incident ID FRACONBLA1766997330.

Does Fraud-Sense have SOC 2 Type 1 certification ?

According to Rankiteo, Fraud-Sense is not certified under SOC 2 Type 1.

Does Fraud-Sense have SOC 2 Type 2 certification ?

According to Rankiteo, Fraud-Sense does not hold a SOC 2 Type 2 certification.

Does Fraud-Sense comply with GDPR ?

According to Rankiteo, Fraud-Sense is not listed as GDPR compliant.

Does Fraud-Sense have PCI DSS certification ?

According to Rankiteo, Fraud-Sense does not currently maintain PCI DSS compliance.

Does Fraud-Sense comply with HIPAA ?

According to Rankiteo, Fraud-Sense is not compliant with HIPAA regulations.

Does Fraud-Sense have ISO 27001 certification ?

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

Which industry does Fraud-Sense operate in ?

Fraud-Sense operates primarily in the Financial Services industry.

How many employees does Fraud-Sense have ?

Fraud-Sense employs approximately 2 people worldwide.

Does Fraud-Sense own any subsidiaries ?

Fraud-Sense presently has no subsidiaries across any sectors.

How many LinkedIn followers does Fraud-Sense have ?

Fraud-Sense's official LinkedIn profile has approximately 214,755 followers.

What is the NAICS classification code for Fraud-Sense ?

Fraud-Sense is classified under the NAICS code 52, which corresponds to Finance and Insurance.

Does Fraud-Sense have a Crunchbase profile ?

No, Fraud-Sense does not have a profile on Crunchbase.

Does Fraud-Sense have a LinkedIn profile ?

Yes, Fraud-Sense maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/fraud-sense.

How many cybersecurity incidents has Fraud-Sense experienced ?

As of August 8, 2026, Rankiteo reports that Fraud-Sense has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Fraud-Sense have ?

Fraud-Sense has an estimated 32,454 peer or competitor companies worldwide.

What types of cybersecurity incidents has Fraud-Sense faced ?

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

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Fraud-Sense

Boost Score +25 with badge (5 left)

459

/1000

Critical

484

/1000

Critical

Fraud-Sense Vendor Cyber Rating & Cyber Score

fraud-sense.com

Add Your Compliance Badge

Fraud-Sense SaaS provides : - AI-based detectors and specialized FinCrime algorithms that detect sophisticated financial crime that is missed by rules-based systems. - Triage SaaS that integrates with existing solutions to deliver immediate results in reducing false positives/negatives. -Name Science & Onomastics technology to identify Ultimate Beneficial Owners organisations behind suspicious transactions related to: -Advanced understanding of Polysemy & Synonymy for more accurate results compared to simple data-driven models. Key benefits: -Detects complex financial crimes missed by traditional systems -Seamless integration with existing solutions -Immediate insights into fraud and risk -Superior identification of entities involved

Fraud-Sense A.I CyberSecurity Scoring

Scoring History

Fraud-Sense

Fraud-Sense CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Fraud-Sense

Ransomware

100

6/2025

Fraud-Sense

FRACONBLA176699...

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A.I.

Fraud-Sense 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 Fraud-Sense

Incidents vs Financial Services Industry Avg (This Year)

No incidents recorded for Fraud-Sense in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Fraud-Sense in 2026.

Incident Types Fraud-Sense vs Financial Services Industry Avg (This Year)

No incidents recorded for Fraud-Sense in 2026.

Incident History - Fraud-Sense (X = Date, Y = Severity)

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SUBSIDIARY

Fraud-Sense Subsidiaries

Parent Company

Fraud-Sense

Financial Services

Website: https://fraud-sense.com

Company Size: 2-10 employees

No subsidiary data available for this company.

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

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-52880

SUMMARY

Klever-Go is the Go implementation of the Klever blockchain protocol. Versions from 1.7.14 through 1.7.17 are vulnerable to a remotely triggerable denial of service. Both REST APIs are started with the Gin Engine.Run convenience method, which serves requests through Go's default HTTP server with no ReadHeaderTimeout, ReadTimeout, or MaxHeaderBytes configured. As a result, incoming connections that never complete their request headers are held open indefinitely. When a REST listener is reachable beyond localhost through the documented all-interface bind or a Docker port-publish deployment, a single unauthenticated client can open many slow-header connections and hold them open until server file descriptors are exhausted, preventing the API from accepting new connections. This renders the REST API unavailable to legitimate clients. This issue is fixed in version 1.7.18.

Published

Date2026-08-07

Updated

Date2026-08-07

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:N/I:N/A:H

Impact Score

3.6

Exploitability

3.9

REFERENCES

CVE-2026-52879

SUMMARY

Klever-Go is the Go implementation of the Klever blockchain protocol. In versions 1.7.14 through 1.7.17, the direct-message ingress handler spawns a new goroutine for every incoming direct message before the processor-level antiflood layer makes any admission decision, with no semaphore, throttler, or bound on the number of concurrent in-flight spawns. Because the antiflood check runs inside the spawned goroutine rather than before it, a single connected peer can open a direct-send stream and send a stream of well-formed messages to force unbounded goroutine creation, where each goroutine allocates its own stack and holds a message reference until processing completes, adding scheduler and garbage-collection pressure faster than the runtime can drain it. This lets one peer degrade the node's availability and its ability to process legitimate traffic, resulting in a remotely triggerable denial of service. The issue is fixed in 1.7.18.

Published

Date2026-08-07

Updated

Date2026-08-07

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:N/I:N/A:H

Impact Score

3.6

Exploitability

3.9

REFERENCES

CVE-2026-52878

SUMMARY

Klever-Go is the Go implementation of the Klever blockchain protocol. Versions 1.7.14 through 1.7.17 are vulnerable to a nil-pointer panic triggered by a protobuf Transaction whose embedded RawData sub-message is omitted. This omission causes RawData to decode to nil. Every transaction gossiped on the Klever-Go P2P network is decoded and validated synchronously inside the libp2p pubsub topic-validator callback, where txVersionChecker.CheckTxVersion dereferences tx.RawData.Version with no nil check. Because the libp2p pubsub callback, the underlying go-libp2p-pubsub validation worker, and Klever's own network/p2p layer install no recover(), the panic propagates and crashes the entire node process. The attacker payload is a 3-byte protobuf message; no validator key, stake, funds, or on-chain account is required, and delivery aimed at enough of the BLS validator set can halt block production, resulting in a chain halt. This issue has been fixed in version 1.7.18.

Published

Date2026-08-07

Updated

Date2026-08-07

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:N/I:N/A:H

Impact Score

3.6

Exploitability

3.9

REFERENCES

CVE-2026-49343

SUMMARY

Klever-Go is the Go implementation of the Klever blockchain protocol. In versions prior to 1.7.18, the account-data trie syncers are vulnerable to a resource-exhaustion flaw that leaks bounded throttler slots on error paths. In syncDataTrie() (in both userAccountsSyncer.go and kappAccountsSyncer.go), StartProcessing() reserves a slot from the NumGoRoutinesThrottler, but the corresponding EndProcessing() is only called on the success path and on the duplicate-root early return. As a result, any error from trie.NewTrie(), trie.NewTrieSyncer(), or trieSyncer.StartSyncing() (including the network-dependent timeout path) permanently consumes one slot for the lifetime of the throttler. An attacker who can repeatedly cause trie-node sync failures or timeouts during bootstrap can exhaust the bounded throttler, after which further account-data trie syncs stop making progress and SyncAccounts() returns a timeout. Because epoch bootstrap in syncUserAccountsState() and syncKappAccountsState() aborts on any such error, this causes bootstrap to fail, a core availability issue affecting fresh, restarting, or resyncing nodes and validators. This issue is fixed in version 1.7.18.

Published

Date2026-08-07

Updated

Date2026-08-07

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:N/A:H

Impact Score

3.6

Exploitability

2.2

REFERENCES

CVE-2026-48122

SUMMARY

Ruby LSP is an implementation of the language server protocol for Ruby. Several workspace-level settings in the Ruby LSP VS Code extension prior to version 0.10.4 could override the path to the Ruby executable, the version manager executables, or the Bundler `Gemfile` used at startup. A malicious repository containing a `.vscode/settings.json` could set these values to attacker-controlled targets. Opening and trusting the repository would then execute code with the privileges of the developer. The Ruby LSP gem and clients of the language server in other editors are not affected. Version 0.10.4 of the Ruby LSP VS Code extension fixes the issue.

Published

Date2026-08-07

Updated

Date2026-08-07

RISK INFORMATION (Score: )

cvss4

Base Score: 5.4

Complexity: LOW

CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:H/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

https://github.com/Shopify/ruby-lsp/security/advisories/GHSA-2x7g-8mp4-572w

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