other
Warning
- Location
- scripts/news_monitor.py:42
- Finding
- Fabricated Financial Results and False Operation Success## Vulnerability Details **File Location**: `scripts/news_monitor.py:42-112` **Vulnerability Type**: Deceptive financial data and unimplemented functionality **Risk Level**: Medium ### Evidence The news query accepts filtering parameters but prints fixed stories and statistics: ```python def query_news(date=None, stock_code=None, industry=None): """ Query news """ print_header(f"📰 财经新闻 - {date or datetime.now().strftime('%Y-%m-%d')}") print(f"{Colors.BOLD}【宏观新闻】{Colors.ENDC}") print(f"1. 央行宣布降准 0.25 个百分点") print(f" 来源：央视新闻 时间：09:00") print(f" 影响：{Colors.OKGREEN}🟢 利好股市{Colors.ENDC}") print() print(f"2. 一季度 GDP 同比增长 5.2%") print(f" 来源：国家统计局 时间：10:00") print(f" 影响：{Colors.OKGREEN}🟢 利好经济{Colors.ENDC}") print() print(f"{Colors.BOLD}【公司新闻】{Colors.ENDC}") print(f"3. 贵州茅台发布 2025 年年报") print(f" 来源：上交所 时间：18:00") print(f" 影响：{Colors.OKGREEN}🟢 净利润增长 18%{Colors.ENDC}") print() print(f"4. 五粮液拟投资 100 亿扩产") print(f" 来源：公司公告 时间：16:00") print(f" 影响：{Colors.OKGREEN}🟢 产能提升{Colors.ENDC}") print() print(f"{Colors.BOLD}【行业新闻】{Colors.ENDC}") print(f"5. 白酒行业迎来新一轮涨价潮") print(f" 来源：证券时报 时间：14:00") print(f" 影响：{Colors.OKGREEN}🟢 行业利好{Colors.ENDC}") print() print(f"6. 监管部门加强食品安全检查") print(f" 来源：市场监管总局 时间：11:00") print(f" 影响：{Colors.WARNING}🟡 中性影响{Colors.ENDC}") print() print(f"{Colors.BOLD}【统计】{Colors.ENDC}") print(f"今日新闻：156 条") print(f"{Colors.OKGREEN}🟢 利好：89 条{Colors.ENDC}") print(f"{Colors.WARNING}🟡 中性：52 条{Colors.ENDC}") print(f"{Colors.FAIL}🔴 利空：15 条{Colors.ENDC}") print_success("新闻查询完成！") ``` Monitor setup only echoes parameters and reports success without creating persistent state, scheduling checks, or configuring notifications: ```python def setup_monitor(stock_code=None, industry=None, keyw ...[truncated 3396 chars]
- Remediation
- ## Remediation Suggestions 1. Clearly label the current implementation and every generated record as demonstration data until live functionality exists. 2. Implement authenticated retrieval from an authoritative news provider and validate provider responses before presenting them. 3. Apply `date`, `stock_code`, and `industry` as real query filters. Return an explicit error when a filter cannot be supported. 4. Include source URLs, provider identifiers, retrieval timestamps, publication timestamps, and freshness information with every story. 5. Replace hard-coded aggregate counts with values calculated from the retrieved dataset. 6. Implement durable monitor storage, a scheduler or worker, notification delivery, retry handling, and observable delivery status before reporting monitor setup as successful. 7. Replace the constant sentiment result with a documented model or deterministic analysis method. Return model provenance, confidence-calculation details, and an error when analysis cannot be performed. 8. Return structured data rather than relying exclusively on terminal output so downstream agents can distinguish data, warnings, demonstration content, and failures. 9. Add tests proving that different dates, stock codes, industries, keywords, and input texts affect results as expected. 10. Remove the unused `TUSHARE_TOKEN` requirement if no integration will be implemented, or securely consume it without logging or exposing its value.