Debt-IN
Company Details
Linkedin ID:
debt-in
Website:
Employees number:
88
Number of followers:
759
NAICS:
None
Industry Type:
Homepage:
debt-in.co.za
IP Addresses:
0
Company ID:
DEB_2300049
Scan Status:
In-progress
Internal validation & live display
Multiple badges & continuous verification
Faster underwriting decisions
Debt-IN Vendor Cyber Rating & Cyber Score
debt-in.co.zaDebt-IN is a level 1 BBBEE contributor. Our extensive expertise in debt recovery enables all credit providers in making a difference to their customers' financial health by formulating unique, customized solutions, and building long-term relationships through our unsurpassed commitment to service excellence.
Debt-IN A.I CyberSecurity Scoring
Debt-IN Risk Score (AI oriented)Between 700 and 749
Debt-IN
Updated:
- Powered by our proprietary A.I cyber incident model
- Insurance preferes TPRM score to calculate premium
Debt-IN Global Score (TPRM)XXXX
Debt-IN
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
Debt-IN Company CyberSecurity News & History
Past Incidents
1
Attack Types
1
Debt-IN
Ransomware
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: The South African debt collector Debt-IN suffered a a ransomware attack which exposed as much as 1.4 million personal records of South Africans. FNB, Absa, Standard Bank and African Bank are some of the financial institutions that make use of Debt-IN’s services and thus were impacted by the attack on Debt-IN. These institutions notified their customers about the attack and asked to be alerted of the breach.
Debt-IN Company Scoring based on AI Models
Cyber Incidents Likelihood 3 - 6 - 9 months
A.I Risk Score Likelihood 3 - 6 - 9 months
Underwriter Stats for Debt-IN
Incidents vs Outsourcing/Offshoring Industry Average (This Year)
No incidents recorded for Debt-IN in 2026.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Debt-IN in 2026.
Incident Types Debt-IN vs Outsourcing/Offshoring Industry Avg (This Year)
No incidents recorded for Debt-IN in 2026.
Incident History — Debt-IN (X = Date, Y = Severity)
Debt-IN cyber incidents detection timeline including parent company and subsidiaries
Debt-IN Company Subsidiaries
Debt-IN is a level 1 BBBEE contributor. Our extensive expertise in debt recovery enables all credit providers in making a difference to their customers' financial health by formulating unique, customized solutions, and building long-term relationships through our unsurpassed commitment to service excellence.
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
Debt-IN CyberSecurity History Information
Official Website of Debt-IN
The official website of Debt-IN is https://debt-in.co.za/.
Debt-IN’s AI-Generated Cybersecurity Score
According to Rankiteo, Debt-IN’s AI-generated cybersecurity score is 711, reflecting their Moderate security posture.
How many security badges does Debt-IN’ have ?
According to Rankiteo, Debt-IN currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Has Debt-IN been affected by any supply chain cyber incidents ?
According to Rankiteo, Debt-IN has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.
Does Debt-IN have SOC 2 Type 1 certification ?
According to Rankiteo, Debt-IN is not certified under SOC 2 Type 1.
Does Debt-IN have SOC 2 Type 2 certification ?
According to Rankiteo, Debt-IN does not hold a SOC 2 Type 2 certification.
Does Debt-IN comply with GDPR ?
According to Rankiteo, Debt-IN is not listed as GDPR compliant.
Does Debt-IN have PCI DSS certification ?
According to Rankiteo, Debt-IN does not currently maintain PCI DSS compliance.
Does Debt-IN comply with HIPAA ?
According to Rankiteo, Debt-IN is not compliant with HIPAA regulations.
Does Debt-IN have ISO 27001 certification ?
According to Rankiteo,Debt-IN is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Debt-IN
Debt-IN operates primarily in the Outsourcing/Offshoring industry.
Number of Employees at Debt-IN
Debt-IN employs approximately 88 people worldwide.
Subsidiaries Owned by Debt-IN
Debt-IN presently has no subsidiaries across any sectors.
Debt-IN’s LinkedIn Followers
Debt-IN’s official LinkedIn profile has approximately 759 followers.
NAICS Classification of Debt-IN
Debt-IN is classified under the NAICS code None, which corresponds to Others.
Debt-IN’s Presence on Crunchbase
No, Debt-IN does not have a profile on Crunchbase.
Debt-IN’s Presence on LinkedIn
Yes, Debt-IN maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/debt-in.
Cybersecurity Incidents Involving Debt-IN
As of April 04, 2026, Rankiteo reports that Debt-IN has experienced 1 cybersecurity incidents.
Number of Peer and Competitor Companies
Debt-IN has an estimated 268 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at Debt-IN ?
Incident Types: The types of cybersecurity incidents that have occurred include Ransomware.
How does Debt-IN detect and respond to cybersecurity incidents ?
Detection and Response: The company detects and responds to cybersecurity incidents through an communication strategy with customers were notified about the attack and asked to be alerted of the breach...
Incident Details
Can you provide details on each incident ?
What are the most common types of attacks the company has faced ?
Common Attack Types: The most common types of attacks the company has faced is Ransomware.
Impact of the Incidents
What was the impact of each incident ?
Incident : Ransomware Attack DEB2234111022
Data Compromised: Personal records
What types of data are most commonly compromised in incidents ?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Personal Records.
Which entities were affected by each incident ?
Incident : Ransomware Attack DEB2234111022
Entity Name: Debt-IN
Entity Type: Debt Collector
Industry: Financial Services
Location: South Africa
Customers Affected: 1400000
Incident : Ransomware Attack DEB2234111022
Entity Name: FNB
Entity Type: Financial Institution
Industry: Banking
Location: South Africa
Incident : Ransomware Attack DEB2234111022
Entity Name: Absa
Entity Type: Financial Institution
Industry: Banking
Location: South Africa
Incident : Ransomware Attack DEB2234111022
Entity Name: Standard Bank
Entity Type: Financial Institution
Industry: Banking
Location: South Africa
Incident : Ransomware Attack DEB2234111022
Entity Name: African Bank
Entity Type: Financial Institution
Industry: Banking
Location: South Africa
Response to the Incidents
What measures were taken in response to each incident ?
Incident : Ransomware Attack DEB2234111022
Communication Strategy: Customers were notified about the attack and asked to be alerted of the breach.
Data Breach Information
What type of data was compromised in each breach ?
Incident : Ransomware Attack DEB2234111022
Type of Data Compromised: Personal Records
Number of Records Exposed: 1400000
Investigation Status
How does the company communicate the status of incident investigations to stakeholders ?
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Customers were notified about the attack and asked to be alerted of the breach..
Stakeholder and Customer Advisories
Were there any advisories issued to stakeholders or customers for each incident ?
Incident : Ransomware Attack DEB2234111022
Customer Advisories: Customers were notified about the attack and asked to be alerted of the breach.
What advisories does the company provide to stakeholders and customers following an incident ?
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: was Customers were notified about the attack and asked to be alerted of the breach..
Additional Questions
Impact of the Incidents
What was the most significant data compromised in an incident ?
Most Significant Data Compromised: The most significant data compromised in an incident were Personal Records and .
Data Breach Information
What was the most sensitive data compromised in a breach ?
Most Sensitive Data Compromised: The most sensitive data compromised in a breach was Personal Records.
What was the number of records exposed in the most significant breach ?
Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 140.0.
Stakeholder and Customer Advisories
What was the most recent customer advisory issued ?
Most Recent Customer Advisory: The most recent customer advisory issued was an Customers were notified about the attack and asked to be alerted of the breach.
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Latest Global CVEs (Not Company-Specific)
Description
nimiq/core-rs-albatross is a Rust implementation of the Nimiq Proof-of-Stake protocol based on the Albatross consensus algorithm. Prior to version 1.3.0, two peer-facing consensus request handlers assume that the history index is always available and call blockchain.history_store.history_index().unwrap() directly. That assumption is false by construction. HistoryStoreProxy::history_index() explicitly returns None for the valid HistoryStoreProxy::WithoutIndex state. when a full node is syncing or otherwise running without the history index, a remote peer can send RequestTransactionsProof or RequestTransactionReceiptsByAddress and trigger an Option::unwrap() panic on the request path. This issue has been patched in version 1.3.0.
Risk Information
cvss3
Base: 5.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Description
PraisonAI is a multi-agent teams system. Prior to version 1.5.95, FileTools.download_file() in praisonaiagents validates the destination path but performs no validation on the url parameter, passing it directly to httpx.stream() with follow_redirects=True. An attacker who controls the URL can reach any host accessible from the server including cloud metadata services and internal network services. This issue has been patched in version 1.5.95.
Risk Information
cvss3
Base: 8.6
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
Description
PraisonAI is a multi-agent teams system. Prior to version 4.5.97, OAuthManager.validate_token() returns True for any token not found in its internal store, which is empty by default. Any HTTP request to the MCP server with an arbitrary Bearer token is treated as authenticated, granting full access to all registered tools and agent capabilities. This issue has been patched in version 4.5.97.
Risk Information
cvss3
Base: 9.1
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
Description
PraisonAI is a multi-agent teams system. Prior to version 4.5.97, the PraisonAI Gateway server accepts WebSocket connections at /ws and serves agent topology at /info with no authentication. Any network client can connect, enumerate registered agents, and send arbitrary messages to agents and their tool sets. This issue has been patched in version 4.5.97.
Risk Information
cvss3
Base: 9.1
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
Description
PraisonAI is a multi-agent teams system. Prior to version 4.5.90, MCPToolIndex.search_tools() compiles a caller-supplied string directly as a Python regular expression with no validation, sanitization, or timeout. A crafted regex causes catastrophic backtracking in the re engine, blocking the Python thread for hundreds of seconds and causing a complete service outage. This issue has been patched in version 4.5.90.
Risk Information
cvss3
Base: 6.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
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RapidWhat Do We Measure ?
Incident
Finding
Grade
Digital Assets
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
These are some of the factors we use to calculate the overall score:
Network Security
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
SBOM (Software Bill of Materials)
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
CMDB (Configuration Management Database)
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Threat Intelligence
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.
