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FinTech 安全解决方案

您的支付数据正在被盗取,78%的支付处理器遭遇数据泄露。源代码中暴露的 API 密钥泄露交易数据。弱认证危害客户账户安全。Plexicus 从代码到合规性保护 FinTech。

PLEXICUS BANK
DEBIT
CHIP ENABLED
SECURE
4532 •••• •••• 9012
VALID THRU
12/28
JOHN ***
78% processors breached
API keys exposed
Weak authentication

FinTech 攻击面

了解完整的金融数据生态系统和漏洞景观

易受攻击的金融科技系统
客户数据
核心银行

移动应用程序

PII Exposed
Weak Auth
Local Storage

API 网关

Broken Auth
Rate Limit
CORS/CSRF

核心银行

SQL Injection
Unencrypted
Admin Backdoors
Plexicus 金融科技防御
多层安全控制

代码扫描

SAST
DAST
API Security
Secrets Detection

基础设施

Cloud Config
K8s Security
Container
Runtime

合规性

PCI DSS
SOC 2
ISO 27001
GDPR

FinTech 安全现状

支付系统漏洞

与支付系统漏洞相关的统计数据。

0%
支付处理器被攻破
0M
财务记录泄露(2023)
$0.00M
平均财务漏洞成本
0%
FinTech 攻击增加

财务影响

突出显示 FinTech 安全事件财务影响的统计数据。

$0M
平均监管罚款
0days
平均漏洞检测时间
0%
客户信任损失
$0M
每次事件的平均欺诈损失

真实的金融科技漏洞

金融应用程序中的常见安全缺陷及其安全实现

Payment Processing Logic Flaws
财务计算中的竞争条件和精度问题
BEFOREAFTER
secure-payment.js
✅ SECURE CONFIGURATION
1// ✅ Secure payment processing code
2async function processPaymentSecure(amount, accountId) {
3 // Use database transaction with locking
4 return await db.transaction(async (trx) => {
5 // Lock account row to prevent race conditions
6 const account = await trx('accounts')
7 .where('id', accountId)
8 .forUpdate()
9 .first();
10
11 if (!account || account.balance < amount) {
12 throw new Error("Insufficient funds");
13 }
14
15 // Atomic balance update
16 await trx('accounts')
17 .where('id', accountId)
18 .decrement('solution-pages.fintech.balance', amount);
19
20 return await processTransactionSecure(amount, trx);
21 });
22}
23 
24// ✅ Safe integer calculation with bounds checking
25function calculateInterestSecure(principal, rate, time) {
26 // Validate inputs and check for overflow
27 if (principal > Number.MAX_SAFE_INTEGER / rate / time) {
28 throw new Error("Calculation would overflow");
29 }
30 return Math.floor(principal * rate * time * 100) / 100;
31}
32 
33// ✅ Fixed-point arithmetic for financial calculations
34function transferAmountSecure(from, to, amount) {
35 // Use cents to avoid floating point issues
36 const amountCents = Math.round(amount * 100);
37 const feeCents = Math.round(amountCents * 0.1);
38 const netAmountCents = amountCents - feeCents;
39
40 return {
41 amount: amountCents / 100,
42 fee: feeCents / 100,
43 netAmount: netAmountCents / 100
44 };
45}
Lines: 45Security: PASSED
vulnerable-payment.js
❌ VULNERABLE CONFIGURATION
1// ❌ Vulnerable payment processing code
2function processPayment(amount, accountId) {
3 // Race condition vulnerability
4 const balance = getAccountBalance(accountId);
5 if (balance >= amount) {
6 // Time-of-check to time-of-use gap
7 sleep(100); // Simulating network delay
8 deductFromAccount(accountId, amount);
9 return processTransaction(amount);
10 }
11 throw new Error("Insufficient funds");
12}
13 
14// ❌ Integer overflow in calculation
15function calculateInterest(principal, rate, time) {
16 return principal * rate * time; // No overflow check
17}
18 
19// ❌ Precision issues with floating point
20function transferAmount(from, to, amount) {
21 const fee = amount * 0.1; // Floating point arithmetic
22 const netAmount = amount - fee;
23 // Could result in: 10.00 - 1.00 = 8.999999999999998
24}
Lines: 24Security: FAILED

VULNERABLE

Security Issues:HIGH
Risk Level:CRITICAL

SECURED

Security Issues:NONE
Risk Level:LOW
API Security Disasters
金融API中的身份验证失败和过度数据暴露
BEFOREAFTER
secure-banking-api.yaml
✅ SECURE CONFIGURATION
1# ✅ Secure API configuration
2openapi: "3.0.0"
3info:
4 title: Banking API
5 version: "1.0.0"
6security:
7 - BearerAuth: []
8 - ApiKeyAuth: []
9paths:
10 /api/accounts/{accountId}/balance:
11 get:
12 parameters:
13 - name: accountId
14 in: path
15 required: true
16 schema:
17 type: string
18 format: uuid # Use UUIDs instead of sequential IDs
19 pattern: '^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$'
20 security:
21 - BearerAuth: []
22 - ApiKeyAuth: []
23 responses:
24 '200':
25 description: Account balance (sanitized)
26 content:
27 application/json:
28 schema:
29 type: object
30 properties:
31 availableBalance:
32 type: string # Masked balance range
33 example: "$1,000 - $5,000"
34 accountMask:
35 type: string # Masked account number
36 example: "****-****-****-1234"
37 # No PII or sensitive data exposed
Lines: 37Security: PASSED
vulnerable-banking-api.yaml
❌ VULNERABLE CONFIGURATION
1# ❌ Vulnerable API configuration
2openapi: "3.0.0"
3info:
4 title: Banking API
5 version: "1.0.0"
6paths:
7 /api/accounts/{accountId}/balance:
8 get:
9 parameters:
10 - name: accountId
11 in: path
12 required: true
13 schema:
14 type: string # No format validation
15 security: [] # No authentication required
16 responses:
17 '200':
18 description: Account balance
19 content:
20 application/json:
21 schema:
22 type: object
23 properties:
24 balance:
25 type: number # Exposes exact balance
26 accountNumber:
27 type: string # Sensitive data exposure
28 ssn:
29 type: string # PII exposure
30 creditScore:
31 type: integer # Sensitive financial data
Lines: 31Security: FAILED

VULNERABLE

Security Issues:HIGH
Risk Level:CRITICAL

SECURED

Security Issues:NONE
Risk Level:LOW

Compliance Automation

金融法规的自动化合规验证

PCI DSS Compliance
支付卡行业数据安全标准
防火墙配置
98%
系统加固
94%
数据加密
96%
安全开发
92%
95%
总体合规率
GDPR Data Protection
通用数据保护条例
数据最小化
89%
同意管理
95%
删除权
87%
数据可携性
91%
91%
总体合规率
DORA Resilience
数字运营弹性法案
ICT风险管理
93%
事件报告
88%
弹性测试
85%
第三方风险
90%
89%
总体合规率
实时合规监控
94.2%
总体合规评分
24/7
持续监控
Auto
证据收集

GDPR 数据保护

金融数据的 PII 检测和分类

GDPR 个人信息检测结果
1,247
扫描完成: files analyzed
89
发现个人信息实例
HIGH RISK信用卡号码
• Files: CustomerData.py:5, PaymentForm.js:23
• Pattern: 4532-****-****-9012 (16 instances)
• GDPR Article 9 (Special categories)
• Action: 实施代币化
HIGH RISK社会安全号码
• Files: UserProfile.java:45, TestData.sql:89
• Pattern: ***-**-6789 (7 instances)
• GDPR Article 9 (Special categories)
• Action: 从测试数据中移除,加密生产数据
MEDIUM RISK电子邮件地址
• Files: Multiple (34 instances)
• Pattern: 个人数据处理
• GDPR Article 6 (Lawfulness)
• Action: 实施同意管理
67/89
可用自动修复
22
GDPR Compliance Status
76%
GDPR Compliance
高风险
23
中等风险
34
低风险
32

Data Subject Rights

访问权✓ 已实施
更正权✗ 缺失
删除权~ 部分
数据可携权✗ 未实施

智能合约安全

DeFi和区块链漏洞检测

$3.8B
DeFi TVL 损失于黑客攻击
12,847
智能合约分析
2,341
关键漏洞
450+
受保护项目
Plexicus IDE - Smart Contract Analysis
EXPLORER
contracts
VulnerableVault.sol
SecureVault.sol
Security Analysis
Analyzing...
VulnerableVault.sol
Analyzing smart contract...
Top DeFi Vulnerabilities (2024)
重入攻击
Impact: $60M+ • Frequency: 23%
+15%
整数溢出
Impact: $45M+ • Frequency: 18%
-8%
访问控制
Impact: $38M+ • Frequency: 16%
+22%
价格操纵
Impact: $52M+ • Frequency: 14%
+31%

合规框架

数字运营弹性法案自动化,持续监控和证据收集

DORA 合规框架

ICT风险管理

资产清单
漏洞管理
事件响应
自动化证据

事件报告

实时检测
分类
影响评估
合规报告

测试与弹性

混沌工程
灾难恢复
性能测试
业务连续性

第三方风险

供应商评估
合同监控
SLA合规
供应链安全
Article 8
ICT风险管理
compliant
资产清单
Progress100%
漏洞管理
Progress96%
事件响应
Progress98%
98%
Compliance Score
Article 17
事件报告
compliant
实时检测
Progress98%
分类
Progress92%
影响评估
Progress95%
95%
Compliance Score
Article 25
弹性测试
warning
混沌工程
Progress88%
灾难恢复
Progress95%
性能测试
Progress93%
92%
Compliance Score
Article 28
第三方风险
warning
供应商评估
Progress91%
合同监控
Progress87%
SLA合规
Progress89%
89%
Compliance Score
DORA 合规仪表板
93.5%
整体 DORA 准备度
本月增加 5.2%
24/7
持续监控
实时更新
自动
证据收集
符合监管要求
Next Regulatory Review:Automated Monthly

Real-Time Fraud Detection

高级行为分析和交易监控

45,678
处理的交易
最近一小时
23
生成的欺诈警报
活跃
2.1%
误报率
行业: 15%
97.3%
检测准确率
机器学习模型
Active Fraud Alerts
RISKAccount 4532****9012
Pattern: 快速连续交易
Location: 纽约 → 伦敦 (不可能的旅行)
Amount: $50,000 (正常消费的10倍)
Action: 交易被阻止,账户被冻结
RISKAccount 5678****1234
Pattern: 多笔小额交易
Location: 凌晨3点 (对该客户不寻常)
Amount: 高风险商户类别
Action: 需要额外验证

机器学习模型性能

97.3%
准确率
94.7%
精确率
91.2%
召回率
2h ago
上次训练时间

金融科技的DevSecOps

安全的CI/CD管道集成

金融科技安全管道
1

代码提交

开发人员将代码推送到存储库

completed
< 1s
2

安全扫描

Plexalyzer 分析代码中的漏洞

completed
45s
3

合规检查

PCI DSS、GDPR、DORA 验证

completed
12s
4

自动修复

85% 的问题自动解决

completed
8s
5

部署

安全部署到生产环境

in-progress
2m 15s

Pipeline Status

Build #1247 - Deployment in progress

3m 20s
Total Runtime
Pipeline Configuration
# .github/workflows/fintech-security.yml
name: FinTech Security Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      - name: Security Scan with Plexalyzer
        run: |
          python analyze.py --config=fintech-security-config.yaml \
            --auto --output=sarif
      
      - name: Upload to Plexicus Platform
        run: |
          curl -X POST "https://api.plexicus.com/receive_plexalyzer_message" \
            -H "Authorization: Bearer ${{ secrets.PLEXICUS_TOKEN }}" \
            -H "Content-Type: application/json" \
            -d '{
              "request": "create-repo",
              "request_id": "github-${{ github.run_id }}",
              "extra_data": {
                "repository_name": "${{ github.repository }}",
                "branch": "${{ github.ref_name }}",
                "compliance_frameworks": ["pci-dss", "gdpr", "dora"]
              }
            }'
Security Metrics
94%
安全覆盖率
85%
自动修复的问题
PCI DSS 合规
✓ 通过
GDPR 合规
✓ 通过
DORA 评估
进行中

Latest Scan Results

检测到 0 个严重漏洞
自动修复 2 个中等问题
验证 100% 合规框架
部署已批准用于生产

DevSecOps Benefits

更快的部署

自动化安全检查将部署时间从数小时减少到几分钟

增强的安全性

每次提交都会自动扫描漏洞和合规性

开发者体验

与现有工作流程和工具的无缝集成

金融科技安全测试

金融应用的综合安全验证

金融科技安全扫描
curl -X POST "https://api.plexicus.com/receive_plexalyzer_message" \
  -H "Authorization: Bearer ${PLEXICUS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{

金融科技应用漏洞评估,针对敏感数据类型:

支付数据
信用卡、银行账户
个人身份信息
社保号、地址、电话
财务
交易、余额
合规
PCI DSS、GDPR、DORA
金融科技漏洞结果
{
  "data": [
    {
      "id": "finding-fintech-001",
      "type": "finding",
      "attributes": {
        "title": "Race Condition in Payment Processing",
        "description": "Time-of-check to time-of-use vulnerability in payment logic",
        "severity": "critical",
        "file_path": "src/payment/PaymentProcessor.js",
        "original_line": 23,
        "tool": "semgrep",
        "cve": "CWE-362",
        "cvssv3_score": 9.1,
        "false_positive": false,
        "remediation_notes": "Implement database-level locking for atomic operations"
      }
    },
    {
      "id": "finding-fintech-002",
      "type": "finding",
      "attributes": {
        "title": "Credit Card Number in API Response",
        "description": "Full credit card number exposed in API response",
        "severity": "critical",
        "file_path": "src/api/AccountController.java",
        "original_line": 156,
        "tool": "checkmarx",
        "cve": "CWE-359",
        "cvssv3_score": 8.8,
        "false_positive": false,
        "remediation_notes": "Implement PCI DSS compliant data masking"
      }
    }
  ],
  "meta": {
    "total_findings": 89,
    "critical": 12,
    "high": 23,
    "medium": 31,
    "low": 23
  }
}
12
Critical
23
High
31
Medium
23
Low

财务不安全的成本

Transform your FinTech security costs from reactive expenses to proactive investments

$10K/月
自动化金融科技安全扫描
99% 自动化
PCI DSS 合规自动化
97.3% 准确率
欺诈检测改进
快 85%
法规准备

年度总投资

$120K 年度投资

ROI: 99% 成本减少, $12.28M 节省

改变您的安全态势,节省数百万潜在漏洞成本

今天开始

选择您的角色并开始使用 Plexicus 容器安全。几分钟内即可从构建到运行时保护您的容器。

DevSecOps Engineers

设置容器安全扫描与自动化策略执行

Terminal
$ python analyze.py --config=container-security-config.yaml --files=Dockerfile,k8s/,docker-compose.yml --auto

Platform Engineers

Kubernetes环境的API集成与实时监控

Terminal
$ curl -X POST https://api.plexicus.com/receive_plexalyzer_message -H Authorization: Bearer ${PLEXICUS_TOKEN} -H Content-Type: application/json -d {request: create-repo, extra_data: {repository_name: k8s-cluster, environment: production}}

Developers

开发过程中本地容器扫描与漏洞检测

Terminal
$ python analyze.py --config=docker-config.yaml --files=Dockerfile --output=pretty

Compliance Teams

跨框架的合规报告与审计追踪生成

Terminal
$ curl -X POST https://api.plexicus.com/receive_plexalyzer_message -H Authorization: Bearer ${PLEXICUS_TOKEN} -H Content-Type: application/json -d {request: get-enriched-findings, extra_data: {compliance_frameworks: [cis, nist, pci]}}

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