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CVE-1999-1053— Matt Wright GuestBook远程执行任意命令漏洞

EPSS 90.68% · P100
新しい脆弱性情報の通知を購読するログインして購読

I. CVE-1999-1053の基本情報

脆弱性情報

脆弱性についてご質問がありますか?Shenlongの分析が参考になるかご確認ください!
Shenlongの10の質問を表示 ↗

高度な大規模言語モデル技術を使用していますが、出力には不正確または古い情報が含まれる可能性があります。Shenlongはデータの正確性を確保するよう努めていますが、実際の状況に基づいて検証・判断してください。

脆弱性タイトル
N/A
ソース: NVD (National Vulnerability Database)
脆弱性説明
guestbook.pl cleanses user-inserted SSI commands by removing text between "<!--" and "-->" separators, which allows remote attackers to execute arbitrary commands when guestbook.pl is run on Apache 1.3.9 and possibly other versions, since Apache allows other closing sequences besides "-->".
ソース: NVD (National Vulnerability Database)
CVSS情報
N/A
ソース: NVD (National Vulnerability Database)
脆弱性タイプ
N/A
ソース: NVD (National Vulnerability Database)
脆弱性タイトル
Matt Wright GuestBook远程执行任意命令漏洞
ソース: CNNVD (China National Vulnerability Database)
脆弱性説明
GuestBook是一个由Matt Wright编写的基于Web的CGI留言本程序,使用比较广泛。 GuestBook实现上存在输入验证漏洞,远程攻击者可能利用此漏洞以Web进程的权限在主机上执行任意系统命令。 问题在于某些版本的guestbook.pl脚本允许用户输入SSI指令而未对用户输入进行仔细的过滤,这将允许攻击者以httpd进程的权限在主机上执行任意命令。
ソース: CNNVD (China National Vulnerability Database)
CVSS情報
N/A
ソース: CNNVD (China National Vulnerability Database)
脆弱性タイプ
N/A
ソース: CNNVD (China National Vulnerability Database)

影響を受ける製品

ベンダープロダクト影響を受けるバージョンCPE購読
-n/a n/a -

II. CVE-1999-1053の公開POC

#POC説明ソースリンクShenlongリンク
1CVE-1999-1053 Proof-of-Concept Exploithttps://github.com/siunam321/CVE-1999-1053-PoCPOC詳細
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III. CVE-1999-1053のインテリジェンス情報

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Same Patch Batch · n/a · 2001-09-12 · 393 CVEs total

CVE-1999-1415ULTRIX /usr/bin/mail漏洞
CVE-1999-1429DIT TransferPro设备许可漏洞
CVE-1999-1428Solaris Solstice AdminSuite漏洞
CVE-1999-1427Solaris Solstice AdminSuite漏洞
CVE-1999-1426Solaris Solstice AdminSuite漏洞
CVE-1999-1425Solaris Solstice AdminSuite漏洞
CVE-1999-1424Solaris Solstice AdminSuite漏洞
CVE-1999-1422Slackware创建Trojan horse程序漏洞
CVE-1999-1421N-Base交换机漏洞
CVE-1999-1420N-Base交换机漏洞
CVE-1999-1418ICQ 99a文件存在信息泄露漏洞
CVE-1999-1417Solaris ab2 (DynaWeb) Server DoS &潜在木马漏洞
CVE-1999-1416Solaris ab2 (DynaWeb) Server DoS &潜在木马漏洞
CVE-1999-1405AIX snap不安全暂时文件创建漏洞
CVE-1999-1399IRIX SpaceWare spaceball权限许可和访问控制漏洞
CVE-1999-1400经济学家屏幕保护程序中的漏洞
CVE-1999-1401IRIX searchbook漏洞
CVE-1999-1403IBM/Tivoli OPC Tracker Agent多重漏洞
CVE-1999-1404IBM/Tivoli OPC Tracker Agent多重漏洞
CVE-1999-1410IRIX /usr/lib/netaddpr漏洞

Showing 20 of 393 CVEs. View all on vendor page →

IV. 関連脆弱性

V. CVE-1999-1053へのコメント

匿名ユーザー
2025-08-04 21:10:39

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匿名ユーザー
2025-08-13 05:45:45

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匿名ユーザー
2025-08-25 01:59:55

Getting it suitable, like a human would should So, how does Tencent’s AI benchmark work? Earliest, an AI is delineated a indefatigable censure from a catalogue of to the territory 1,800 challenges, from systematize materials visualisations and интернет apps to making interactive mini-games. At the unchangeable test the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the practices in a non-toxic and sandboxed environment. To awe how the attire in against behaves, it captures a series of screenshots during time. This allows it to corroboration against things like animations, look changes after a button click, and other sheltered consumer feedback. Done, it hands to the purlieu all this evince – the autochthonous solicitation, the AI’s jurisprudence, and the screenshots – to a Multimodal LLM (MLLM), to accomplishment as a judge. This MLLM masterly isn’t unobstructed giving a indifferent мнение and a substitute alternatively uses a sated, per-task checklist to swarms the evolve across ten diversified metrics. Scoring includes functionality, stony grit fa‡ade, and unchanging aesthetic quality. This ensures the scoring is unimpeachable, compatible, and thorough. The consequential doubtlessly is, does this automated beak justifiably go uphill heavens satisfied taste? The results proffer it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard craft directions where percipient humans ‚lite on the finest AI creations, they matched up with a 94.4% consistency. This is a elephantine in augmentation from older automated benchmarks, which come what may managed hither 69.4% consistency. On place base in on of this, the framework’s judgments showed at an establish 90% concurrence with maven humane developers. <a href=https://www.artificialintelligence-news.com/>https://www.artificialintelligence-news.com/</a>

匿名ユーザー
2025-08-27 14:07:18

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2025-08-28 20:26:43

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2025-08-30 15:36:03

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2025-08-31 10:23:43

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2025-08-31 20:31:23

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2025-09-03 12:46:20

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2025-09-04 17:24:21

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2025-09-05 08:30:24

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2025-09-05 20:00:17

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2025-09-06 02:43:16

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2025-09-06 10:13:09

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2025-09-08 02:05:20

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2025-09-23 05:57:59

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2025-09-29 13:18:25

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