#cwe-804

共收录 5 条相关安全情报。

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CVE-2024-23567

HCL Aftermarket EPC is affected by Sensitive Information in GET method & in URL which allows application to pass sensitive data via URL parameters during normal usage. Data passed in this manner can be exposed because it may end up stored in unintended locations, including server logs, local browser history and proxy logs.

💡 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)
CVE-2024-23566

HCL Aftermarket EPC is vulnerable to brute force attacks since application doesn’t have captcha implemented. It can lead to various security issues like brute force , automated attacks & account enumeration

💡 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)
CVE-2026-13082

GD::SecurityImage versions through 1.75 for Perl use rand to generate secrets. The random method creates the challenge text used for the CAPTCHA by sampling characters from an array using Perl's built-in rand function, and generates a (by default) six-character string. The built-in rand function is unsuitable for security applications because it is predictable and reversible.

💡 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)

GD::SecurityImage versions through 1.75 for Perl use rand to generate secrets. The random method creates the challenge text used for the CAPTCHA by sampling characters from an array using Perl's built-in rand function, and generates a (by default) six-character string. The built-in rand function is unsuitable for security applications because it is predictable and reversible.

💡 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) | Primary 数据源 (+3) | 包含 CVE (+2) | LLM 评分加成 (+0.4)
CVE-2026-49953

Discuz! X5.0 releases 20260320 through 20260610 contains a CAPTCHA bypass vulnerability that allows unauthenticated remote attackers to defeat challenge controls by exploiting limited complexity and predictable character sets in generated CAPTCHA images. Attackers can train a custom optical character recognition model against collected CAPTCHA samples to reliably predict challenge text, bypassing

💡 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)