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Nippon Paper Foodpac Private Limited

Nippon Paper Foodpac Private Limited Vendor Cyber Rating & Cyber Score

nipponcups.in

- Nippon Paper Foodpac Pvt. Ltd. (Previously known as Plus Paper Foodpac Pvt. Ltd. ) established in 1994 and its production activity started in Mumbai . - Feb 2017 Nippon Paper Group acquired 100% of the shares and became a wholly owned subsidiary. - Nippon Paper Foodpac Pvt. Ltd. is one of region's largest manufacturers of paper products like cup, tubs, folding cartons, printed blanks and outers. - We manufacture from two plants located in Baddi and Chiplun and have presence in Gurgaon and Mumbai as our Marketing offices.


NPFPL A.I CyberSecurity Scoring

NPFPL
Company Information
Website:https://nipponcups.in/
Employees number:29
Number of followers:138
NAICS:322
Industry Type:Paper and Forest Product Manufacturing
Homepage:nipponcups.in
NPFPL Risk Score (AI oriented)
Between 700 and 749
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NPFPLPaper and Forest Product Manufacturing
Updated:
06/03/2026
712/1000
Moderate
Ba
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Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
NPFPL Global Score (TPRM)
xxxx
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NPFPLPaper and Forest Product Manufacturing
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Findings

NPFPL
NPFPLModerate
Current Score
712Ba (MODERATE)
01000
1 incidents
0 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JULY 2026
715Before Incident
JUNE 2026
715Before Incident
MAY 2026
713Before Incident
APRIL 2026
713Before Incident
MARCH 2026
712Before Incident
FEBRUARY 2026
711Before Incident
JANUARY 2026
711Before Incident
DECEMBER 2025
709Before Incident
NOVEMBER 2025
709Before Incident
OCTOBER 2025
708Before Incident
SEPTEMBER 2025
707Before Incident
AUGUST 2025
706Before Incident
JUNE 2023
756Before Incident
Breach
16 Jun 2023NPFPL
Nippon Paper Foodpac Pvt Ltd

Cross-Border Cybersecurity Breach and Data Exfiltration: Legal and Insurance Challenges in Multi-Jurisdictional Disputes

673After Incident
CRITICAL-83
NIP2964329091025
Nippon Paper Foodpac Pvt Ltd faced a cross-border cybersecurity breach involving unauthorized data exfiltration, triggering multi-jurisdictional legal disputes. The incident led to mass claims, regulatory exposure, and reputational damage, with aggrieved parties aggregating claims into class-action lawsuits seeking compensatory and punitive damages. The breach cascaded into a transnational trade of personally identifiable data (PII), likely sold on the dark web, compromising data integrity and individual security globally. The dispute escalated due to conflicting legal obligations across jurisdictions (India, US), complicating insurance coverage under cyber liability policies. The Supreme Court of India intervened in National Insurance Company v. Nippon Paper Foodpac (2023), highlighting fragmented litigation, conflicting orders, and coverage denial by insurers. The insurer contested reimbursement of settlement sums, citing non-participation in primary proceedings and exclusion clauses, despite the company’s liability being affirmed. The case exposed systemic gaps in cross-border enforcement of judgments, arbitrability of quantum disputes, and insurer bad faith in withholding consent for settlements, leaving the company vulnerable to prolonged litigation and financial strain.
INCIDENT DETAILS -
TYPE
Data BreachUnauthorized AccessData ExfiltrationCross-Border CybercrimeClass Action LitigationInsurance Coverage Dispute
MOTIVATION
Financial Gain (Dark Web Data Sales)Extortion (Ransomware/Digital Extortion)Exploitation of Cross-Border Legal Gaps
IMPACT
Mass claims and regulatory finesLitigation and forensics costsSettlement payoutsCredit monitoring expensesPersonally Identifiable Information (PII)Sensitive corporate/financial data (potential)Disruption due to litigation/regulatory scrutinyResource diversion to incident responsePotential loss from reputational damageCustomer churn post-breachClass action aggregation by aggrieved data subjectsDemands for compensatory/punitive damagesGlobal reputational harm due to cross-border data tradeLoss of trust in IT/back-end service providers (especially in India)Cross-border class actionsRegulatory penalties (e.g., GDPR, Indian data protection laws)Coverage disputes with insurers/reinsurersHigh (due to PII trade on dark web)Potential (if financial data was exfiltrated)
DATA BREACH
Personally Identifiable Information (PII)Potentially financial/payment dataNumber Of Records Exposed: Mass (class action scale, exact number undisclosed)Sensitivity Of Data: High (PII traded on dark web)

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