推荐 3.4
Conf: 50%
CVE-2026-42798
Little CMS (lcms2) 2.16 through 2.18 before 2.19 has an integer overflow in ParseCube in cmscgats.c.
💡 影响/原因: 原文内容（由于配额限制，未进行深度 LLM 分析）
🎯 建议动作: 建议根据原文自行评估
排序因子: Primary 数据源 (+3) | LLM 评分加成 (+0.4)
#cwe-190
共收录 6 条相关安全情报。
← 返回所有主题 推荐 3.4
Conf: 50%
CVE-2026-37555
An issue was discovered in libsndfile 1.2.2 IMA ADPCM codec. The AIFF code path (line 241) was fixed with (sf_count_t) cast, but the WAV code path (line 235) and close path (line 167) were not. When samplesperblock (int) * blocks (int) exceeds INT_MAX, the 32-bit multiplication overflows before being assigned to sf.frames (sf_count_t/int64). With samplesperblock=50000 and blocks=50000, the product
💡 影响/原因: 原文内容（由于配额限制，未进行深度 LLM 分析）
🎯 建议动作: 建议根据原文自行评估
排序因子: Primary 数据源 (+3) | LLM 评分加成 (+0.4)
推荐 7.4
Conf: 50%
Integer Overflow or Wraparound vulnerability in Apache Thrift TFramedTransport Go language implementation This issue affects Apache Thrift: before 0.23.0. Users are recommended to upgrade to version 0.23.0, which fixes the issue.
💡 风险点: 原文内容（由于配额限制，未进行深度 LLM 分析）
🎯 建议动作: 建议根据原文自行评估
排序因子: 有可用补丁/修复方案 (+3) | Secondary 数据源 (+2) | 包含 CVE (+2) | LLM 评分加成 (+0.4)
推荐 7.4
Conf: 50%
Integer Overflow or Wraparound vulnerability in Apache Thrift. This issue affects Apache Thrift: before 0.23.0. Users are recommended to upgrade to version 0.23.0, which fixes the issue.
💡 风险点: 原文内容（由于配额限制，未进行深度 LLM 分析）
🎯 建议动作: 建议根据原文自行评估
排序因子: 有可用补丁/修复方案 (+3) | Secondary 数据源 (+2) | 包含 CVE (+2) | LLM 评分加成 (+0.4)
推荐 3.4
Conf: 50%
CVE-2026-41605
Integer Overflow or Wraparound vulnerability in Apache Thrift. This issue affects Apache Thrift: before 0.23.0. Users are recommended to upgrade to version 0.23.0, which fixes the issue.
💡 影响/原因: 原文内容（由于配额限制，未进行深度 LLM 分析）
🎯 建议动作: 建议根据原文自行评估
排序因子: Primary 数据源 (+3) | LLM 评分加成 (+0.4)
推荐 3.4
Conf: 50%
CVE-2026-41602
Integer Overflow or Wraparound vulnerability in Apache Thrift TFramedTransport Go language implementation This issue affects Apache Thrift: before 0.23.0. Users are recommended to upgrade to version 0.23.0, which fixes the issue.
💡 影响/原因: 原文内容（由于配额限制，未进行深度 LLM 分析）
🎯 建议动作: 建议根据原文自行评估
排序因子: Primary 数据源 (+3) | LLM 评分加成 (+0.4)