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Submit #681740 / VDB-331648

A vulnerability classified as critical was found in Adobe Creative Cloud up to 5.9.1. This affects an unknown function. Executing manipulation can lead to untrusted search path. The identification of this vulnerability is CVE-2023-26358. The attack can only be executed locally. There is no exploit available. Upgrading the affected component is advised.

A vulnerability classified as problematic has been found in Adobe Dimension up to 3.4.7. This affects an unknown function. Performing manipulation results in out-of-bounds read. This vulnerability is known as CVE-2023-26356. Attacking locally is a requirement. No exploit is available. It is recommended to upgrade the affected component.

A vulnerability identified as problematic has been detected in Adobe Dimension up to 3.4.7. This issue affects some unknown processing. The manipulation leads to out-of-bounds read. This vulnerability is documented as CVE-2023-26352. The attack needs to be performed locally. There is not any exploit available. You should upgrade the affected component.

A vulnerability labeled as problematic has been found in Adobe Dimension up to 3.4.7. Impacted is an unknown function. The manipulation results in out-of-bounds read. This vulnerability is reported as CVE-2023-26353. The attack requires a local approach. No exploit exists. The affected component should be upgraded.

A vulnerability marked as problematic has been reported in Adobe Dimension up to 3.4.7. The affected element is an unknown function. This manipulation causes out-of-bounds read. This vulnerability appears as CVE-2023-26354. The attack requires local access. There is no available exploit. It is suggested to upgrade the affected component.

A vulnerability described as problematic has been identified in Adobe Dimension up to 3.4.7. The impacted element is an unknown function. Such manipulation leads to out-of-bounds read. This vulnerability is traded as CVE-2023-26355. An attack has to be approached locally. There is no exploit available. Upgrading the affected component is recommended.

A vulnerability categorized as problematic has been discovered in Adobe Dimension up to 3.4.7. This vulnerability affects unknown code. Executing manipulation can lead to out-of-bounds read. This vulnerability is registered as CVE-2023-26351. The attack needs to be launched locally. No exploit is available. It is advisable to upgrade the affected component.

A vulnerability, which was classified as problematic, was found in Interactive-Scripts.Com PHP Membership Manager 1.5. Affected by this vulnerability is an unknown functionality of the file admin.php. Such manipulation of the argument _p leads to basic cross site scripting. This vulnerability is traded as CVE-2007-0567. The attack may be launched remotely. Furthermore, there is an exploit available.

A vulnerability, which was classified as problematic, has been found in PHP Multi User Randomizer 2006.09.13. Affected by this vulnerability is an unknown functionality of the file configure_plugin.tpl.php. This manipulation of the argument edit_plugin causes basic cross site scripting. This vulnerability is handled as CVE-2007-2632. The attack can be initiated remotely. Additionally, an exploit exists.

A vulnerability marked as critical has been reported in PHP Lite Calendar Express 2.2. This affects an unknown part of the file login.php of the component Login. This manipulation of the argument cid causes sql injection. The identification of this vulnerability is CVE-2007-3627. It is possible to initiate the attack remotely. Furthermore, there is an exploit available. It is suggested to upgrade the affected component.

A vulnerability was found in PHP JackKnife. It has been declared as problematic. Affected is an unknown function of the file UserArea/NewAccounts/index.php. Such manipulation of the argument sAccountUnq leads to basic cross site scripting. This vulnerability is uniquely identified as CVE-2007-3000. The attack can be launched remotely. Moreover, an exploit is present.

A vulnerability was found in PHP JackKnife. It has been rated as problematic. Affected by this vulnerability is an unknown functionality of the file G_Display.php. Performing manipulation results in basic cross site scripting. This vulnerability was named CVE-2007-3000. The attack may be initiated remotely. In addition, an exploit is available.

成立于 2007 年的非盈利组织 Common Crawl 致力于存档互联网，它至今抓取了数以十亿计的网页。但最近几年它引发了争议，其巨大的存档库被 AI 公司如 OpenAI、Google、Anthropic、Nvidia、Meta 和 Amazon 用于训练大模型。Common Crawl 为 AI 公司打开了一扇后门，允许它们使用高质量付费墙文章训练模型，并在抓取付费墙文章上撒谎。Common Crawl 声称它不会绕过付费墙，会应新闻出版商要求删除其内容，但实际上并非如此。Common Crawl 执行董事 Rich Skrenta 对此回应称，新闻出版商如果不想它们的内容被抓取，就不应该将内容发布到网上。他说，Common Crawl 的爬虫不会登陆其抓取的网站，但一部分付费墙机制不会影响它的爬虫。比如很多网站在执行付费墙代码前会短暂允许浏览器访问全文，然后代码检查访客是不是付费用户，如果不是就隐藏内容。Common Crawl 的爬虫不会执行付费墙代码，因此能直接阅读全文。过去一年 Common Crawl 的 CCBot 如今已成为流行网站屏蔽最广泛的抓取程序。

好的，我现在要帮用户总结一篇文章的内容，控制在100字以内。首先，我需要仔细阅读用户提供的文章内容，理解其主要观点和关键信息。 文章主要讲的是Common Crawl这个非盈利组织，成立于2007年，致力于存档互联网。他们抓取了数十亿网页，但最近因为被AI公司用来训练模型而引发争议。特别是他们绕过了付费墙，抓取了高质量的文章，并且在抓取过程中撒谎。Common Crawl声称不会绕过付费墙，并会删除新闻出版商要求的内容，但实际上并非如此。执行董事Rich Skrenta回应说，如果出版商不希望内容被抓取，就不应该发布到网上。他还解释说他们的爬虫不会执行付费墙代码，因此能直接阅读全文。过去一年中，Common Crawl的CCBot成为被屏蔽最多的抓取程序。 接下来，我需要将这些信息浓缩到100字以内。要抓住关键点：Common Crawl的成立时间、争议原因、涉及的AI公司、绕过付费墙的行为、执行董事的回应以及CCBot被屏蔽的情况。 可能的结构是：先介绍组织及其目标，然后说明争议和涉及的公司，接着描述他们如何绕过付费墙和执行董事的回应，最后提到CCBot的影响。 现在开始组织语言： “Common Crawl成立于2007年，致力于存档互联网。近年来因向AI公司提供大量数据引发争议。该组织被指绕过付费墙抓取文章，并在操作上存在不透明之处。其执行董事表示出版商应避免在线发布敏感内容。” 检查一下字数是否在100字以内，并确保涵盖所有关键点：成立时间、目标、争议、AI公司、绕过付费墙、回应。 看起来这样可以满足要求。 Common Crawl成立于2007年，致力于存档互联网。近年来因向AI公司提供大量数据引发争议。该组织被指绕过付费墙抓取文章，并在操作上存在不透明之处。其执行董事表示出版商应避免在线发布敏感内容。

Теперь ему придётся объяснять, куда делись $35 миллионов, похищенные у 6000 жертв.

好的，我现在需要帮用户总结这篇文章的内容，控制在100字以内。首先，我得通读整篇文章，抓住主要信息。 文章讲的是OpenAI开源了GPT-oss模型的参数，有开发者分析后发现训练数据里有很多脏话、广告和敏感词。他们用了几种方法，比如看权重里的热门词、直接问模型是否认识这些词、做排行榜和分组，以及用网络热梗测试。结果显示，中文训练数据质量较差，包含大量低俗内容。相比之下，DeepSeek的开源模型做了数据清洗和人工审核。 接下来，我需要把这些要点浓缩成一句话。要确保涵盖OpenAI的数据问题、分析方法、结果以及对比部分。同时，语言要简洁明了。 最后，检查字数是否在100字以内，并确保没有使用“文章内容总结”这样的开头。 OpenAI的GPT-oss模型训练数据被发现包含大量脏话、广告和敏感内容，通过分析模型权重和测试发现中文数据质量较差。

Опыт работы с BlackCat и знания о криптовалютах превратились в преступную схему которая быстро рухнула.

通过调试混淆JS代码，分析sign生成机制，定位关键加密流程，并用Python还原算法成功绕过校验。