other
Warning
- Location
scripts/news_monitor.py:42- Finding
Fabricated Financial Results and False Operation Success
- Content
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Vulnerability Details
File Location:
scripts/news_monitor.py:42-112
Vulnerability Type: Deceptive financial data and unimplemented functionality
Risk Level: MediumEvidence
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
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Remediation Suggestions
- Clearly label the current implementation and every generated record as demonstration data until live functionality exists.
- Implement authenticated retrieval from an authoritative news provider and validate provider responses before presenting them.
- Apply
date,stock_code, andindustryas real query filters. Return an explicit error when a filter cannot be supported. - Include source URLs, provider identifiers, retrieval timestamps, publication timestamps, and freshness information with every story.
- Replace hard-coded aggregate counts with values calculated from the retrieved dataset.
- Implement durable monitor storage, a scheduler or worker, notification delivery, retry handling, and observable delivery status before reporting monitor setup as successful.
- 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.
- Return structured data rather than relying exclusively on terminal output so downstream agents can distinguish data, warnings, demonstration content, and failures.
- Add tests proving that different dates, stock codes, industries, keywords, and input texts affect results as expected.
- Remove the unused
TUSHARE_TOKENrequirement if no integration will be implemented, or securely consume it without logging or exposing its value.