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Malware and Social Engineering Attacks
chapter 2 Malware and Social Engineering Attacks After completing this chapter, you will be able to do the following: ● Describe the differences between a virus and a worm ● List the types of malware that conceals its appearance ● Identify different kinds of malware that is designed for profit ● Describe the types of social engineering psychological attacks ● Explain physical social engineering attacks 41 42 Chapter 2 Malware and Social Engineering Attacks Today’s Attacks and Defenses Successful software companies use a variety of strategies to outsell their competition and gain market share. These strategies may include selling their software at or below a com- petitor’s price, offering better technical support to customers, or providing customized software for clients. And if all else fails, a final strategy can be to buy out the competition through a merger or acquisition. These strategies are also being widely used by attackers who sell their attack software to others. Approximately two out of three malicious Web attacks have been developed using one of three popular attack toolkits. The toolkits are MPack (the most popular attack toolkit, which has almost half of the attacker toolkit mar- ket), NeoSploit, and ZeuS. These toolkits, which are bought and sold online through the underground attacker community, are used to create customized malware that can steal personal information, execute fraudulent financial transactions, and infect computers without the user’s knowledge. The toolkits range in price from only $40 to as much as $8,000. The developers behind these attack toolkits compete fiercely with each other. Some of their tactics include updating the toolkits to keep ahead of the latest security defenses, advertising their attack toolkits as cheaper than the competition, and provid- ing technical support to purchasers. -
Security of Personal Identifiable Information
https://doi.org/10.48009/2_iis_2008_634-638 SECURITY OF PERSONAL IDENTIFIABLE INFORMATION Jack D. Shorter,Texas A&M University – Kingsville, [email protected] Karen A. Forcht, North Carolina A & T University, [email protected] Alicia Aldridge,Appalachian State University, [email protected] Daphyne S. Thomas, James Madison University,[email protected] Abstract impacted if Google’s merger with DoubleClick is completed? In today’s fast moving world, the use of technology has become a part of everyday life. Whether it is DoubleClick is one of the fastest growing digital using a computer to access the Internet, sending marketers, and the amount of user data that could be email, or using cell phones to contact friends and provided to them from Google would be phenomenal. family, technology is found in almost everything. At issue is whether Google can be trusted with users’ Technology provides many conveniences such as PII at its disposal. Armed with this information online banking, renewing a driver’s license, making a DoubleClick could target consumers with a method known as “retargeting.” This type of practice was consumer purchase, or conducting research. th However, using technology has its pros and cons. On one of the topics discussed at the 17 annual the positive side, conducting personal business online Conference on Computers, Freedom & Privacy in is convenient, saves time, and is economical. May 2007. This method uses ads and serves them to However, with the pluses, there are usually minuses users based on their Web surfing behaviors. [4] as well. In the case of an online consumer purchase, one may find price deals, but may discover a lack of A user uses a search engine such as Google to find a quality or poor customer care. -
What Is Exploit Kit and How Does It Work? [1]Ade Kurniawan, [2]Ahmadfitriansyah [1][2]Department of Informatics Engineering, Universal University,Batam, Indonesia
International Journal of Pure and Applied Mathematics Volume 118 No. 20 2018, 509-516 ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu Special Issue ijpam.eu What is Exploit Kit and How Does it Work? [1]Ade Kurniawan, [2]AhmadFitriansyah [1][2]Department of Informatics Engineering, Universal University,Batam, Indonesia Abstract— In the Year 2016 to mid-2017, the analysts have claimed those years as the years of Malware especially Ransomware. The number, spread, infection and impact of malware have caused many users, businesses, governments, and organizations to be anxious, one of the tools to spread it by using exploit kits. A popular method of mass distribution used the perpetrators of cyber criminals is using the exploit kit. Exploit kit has become more effective, cheaper and sophisticated tools to spread malware to their victims. Therefore, in this paper, we provide this research using the Network Forensic Method. The results which are done will explain the chain of events about what the exploit kit is and how the exploit kit works, including actors, campaigns, payload, and terminology involved in the spreading of malware Index Terms—Exploit Kit, Payload, Malware, Ransomware, and Chain of events. I. INTRODUCTION In our digital era, everything is connected and Network Forensics Method. Network forensics is a everyone is vulnerable. The development, part of Digital Forensic conducted with scientific dependability, and complexity of computer software methods to identify, analyse and reconstruct events have brought immediate implications for global based on digital evidence/logs from the network safety and security, especially physical objects such [14][15][16]. -
Analyse De Mpack Et De La Bluepill (Septembre 2007)
7 BRE 200 L’ACTU SÉCU 16 SEPTEM LES “UNE MENACE NOMMÉE MPACK” Le hacking devient un jeu d’enfant... SOMMAIRE DOSSIER SPÉCIAL PACK : LES ROOTKITS VIRTUELS “BLUEPILL” ARTNERS.COM MPACK et TORPIG LES VULNÉRABILITÉS DU MOIS ICEPACK LES OUTILS LIBRES .XMCOP FISHING_BAIT SHARK WWW © XMCO Partners - 2007 [1] Ce document est la propriété du cabinet XMCO Partners. Toute reproduction est strictement interdite. 7 BRE 200 L’EDITO SEPTEM Les packs spécial rentrée... Vous avez certainement vu le film tions, nous plongeons pour vous Michel Sardou et de Johnny Hal- « The Matrix » : le monde dans au cœur des menaces du moment lyday contrôlés par une backdoor lequel nous vivons ne serait pas pour les décortiquer et ainsi vous (voir l’interview de LCI de Marc réel, nous serions en fait endormis aider à vous en protéger. Behar sur notre site). pendant qu’une machine nous ferait vivre dans un monde virtuel L’Actu Secu continue d’évoluer et et utiliserait notre énergie vitale ne manquera pas de présenter pour se nourrir. des sujets d’actualité comme : l’ISO27001, la sécurité Bluetooth, Cette fiction est la toile de fond de l’Ajax ou encore les risques liés à ce 16ième ActuSécu. Fort de nos la technologie RFID… 1000 téléchargements pour son numéro consacré aux Botnets, Bonne lecture nous vous présentons pour cette rentrée 2007 les menaces qui font L’équipe XMCO vous souhaite et feront parler d’elles : MPACK, une bonne rentrée IcePack, la BluePill, Torpig, Des menaces d'ailleurs présentes Shark… dans l’actualité du mois d’août : les clients du Crédit Mutuel atta- Avec le même souci de clarté qui qués par le trojan Banker « Tor- nous anime lors de nos presta- pig » ou encore les ordinateurs de AOUT 2007 Nombre de bulletins Microsoft : 9 Nombre d’exploits dangereux : 20 Nombre de bulletins XMCO : 103 Le TOP des Menaces du Mois 1. -
Address Munging: the Practice of Disguising, Or Munging, an E-Mail Address to Prevent It Being Automatically Collected and Used
Address Munging: the practice of disguising, or munging, an e-mail address to prevent it being automatically collected and used as a target for people and organizations that send unsolicited bulk e-mail address. Adware: or advertising-supported software is any software package which automatically plays, displays, or downloads advertising material to a computer after the software is installed on it or while the application is being used. Some types of adware are also spyware and can be classified as privacy-invasive software. Adware is software designed to force pre-chosen ads to display on your system. Some adware is designed to be malicious and will pop up ads with such speed and frequency that they seem to be taking over everything, slowing down your system and tying up all of your system resources. When adware is coupled with spyware, it can be a frustrating ride, to say the least. Backdoor: in a computer system (or cryptosystem or algorithm) is a method of bypassing normal authentication, securing remote access to a computer, obtaining access to plaintext, and so on, while attempting to remain undetected. The backdoor may take the form of an installed program (e.g., Back Orifice), or could be a modification to an existing program or hardware device. A back door is a point of entry that circumvents normal security and can be used by a cracker to access a network or computer system. Usually back doors are created by system developers as shortcuts to speed access through security during the development stage and then are overlooked and never properly removed during final implementation. -
Crimeware on the Net
Crimeware on the Net The “Behind the scenes” of the new web economy Iftach Ian Amit Director, Security Research – Finjan BlackHat Europe, Amsterdam 2008 Who Am I ? (iamit) • Iftach Ian Amit – In Hebrew it makes more sense… • Director Security Research @ Finjan • Various security consulting/integration gigs in the past – R&D – IT • A helping hand when needed… (IAF) 2 BlackHat Europe – Amsterdam 2008 Today’s Agenda • Terminology • Past vs. Present – 10,000 feet view • Business Impact • Key Characteristics – what does it look like? – Anti-Forensics techniques – Propagation methods • What is the motive (what are they looking for)? • Tying it all up – what does it look like when successful (video). • Anything in it for us to learn from? – Looking forward on extrusion testing methodologies 3 BlackHat Europe – Amsterdam 2008 Some Terminology • Crimeware – what we refer to most malware these days is actually crimeware – malware with specific goals for making $$$ for the attackers. • Attackers – not to be confused with malicious code writers, security researchers, hackers, crackers, etc… These guys are the Gordon Gecko‟s of the web security field. The buy low, and capitalize on the investment. • Smart (often mislead) guys write the crimeware and get paid to do so. 4 BlackHat Europe – Amsterdam 2008 How Do Cybercriminals Steal Business Data? Criminals’ activity in the cyberspace Federal Prosecutor: “Cybercrime Is Funding Organized Crime” 5 BlackHat Europe – Amsterdam 2008 The Business Impact Of Crimeware Criminals target sensitive business data -
Adversarial Web Search by Carlos Castillo and Brian D
Foundations and TrendsR in Information Retrieval Vol. 4, No. 5 (2010) 377–486 c 2011 C. Castillo and B. D. Davison DOI: 10.1561/1500000021 Adversarial Web Search By Carlos Castillo and Brian D. Davison Contents 1 Introduction 379 1.1 Search Engine Spam 380 1.2 Activists, Marketers, Optimizers, and Spammers 381 1.3 The Battleground for Search Engine Rankings 383 1.4 Previous Surveys and Taxonomies 384 1.5 This Survey 385 2 Overview of Search Engine Spam Detection 387 2.1 Editorial Assessment of Spam 387 2.2 Feature Extraction 390 2.3 Learning Schemes 394 2.4 Evaluation 397 2.5 Conclusions 400 3 Dealing with Content Spam and Plagiarized Content 401 3.1 Background 402 3.2 Types of Content Spamming 405 3.3 Content Spam Detection Methods 405 3.4 Malicious Mirroring and Near-Duplicates 408 3.5 Cloaking and Redirection 409 3.6 E-mail Spam Detection 413 3.7 Conclusions 413 4 Curbing Nepotistic Linking 415 4.1 Link-Based Ranking 416 4.2 Link Bombs 418 4.3 Link Farms 419 4.4 Link Farm Detection 421 4.5 Beyond Detection 424 4.6 Combining Links and Text 426 4.7 Conclusions 429 5 Propagating Trust and Distrust 430 5.1 Trust as a Directed Graph 430 5.2 Positive and Negative Trust 432 5.3 Propagating Trust: TrustRank and Variants 433 5.4 Propagating Distrust: BadRank and Variants 434 5.5 Considering In-Links as well as Out-Links 436 5.6 Considering Authorship as well as Contents 436 5.7 Propagating Trust in Other Settings 437 5.8 Utilizing Trust 438 5.9 Conclusions 438 6 Detecting Spam in Usage Data 439 6.1 Usage Analysis for Ranking 440 6.2 Spamming Usage Signals 441 6.3 Usage Analysis to Detect Spam 444 6.4 Conclusions 446 7 Fighting Spam in User-Generated Content 447 7.1 User-Generated Content Platforms 448 7.2 Splogs 449 7.3 Publicly-Writable Pages 451 7.4 Social Networks and Social Media Sites 455 7.5 Conclusions 459 8 Discussion 460 8.1 The (Ongoing) Struggle Between Search Engines and Spammers 460 8.2 Outlook 463 8.3 Research Resources 464 8.4 Conclusions 467 Acknowledgments 468 References 469 Foundations and TrendsR in Information Retrieval Vol. -
Dissecting Web Attacks
Dissecting Web Attacks Val Smith ([email protected]) Colin Ames ([email protected]) Delchi ([email protected]) Bios Valsmith – Affiliations: • Attack Research • Metasploit • cDc – Work: • Attack Techniques Research - History • Pen Tester/ Exploit • Founder Offensive Computing developer • Speaker • Reverse Engineer - Blackhat • Malware Analyst - Defcon - Shmoocon Bios Colin Ames – Security Researcher, Attack Research – Steganography Research – Penetration Testing – Reverse Engineering – Malware Analysis The Problem THESE GUYS (For Real?) AND THESE GUYS (Who says so?) AND THESE GUYS ? WANT YOUR AND WILL USE YOUR TO GET THEM While this happens you are: I n t r o d u c t i o n Introduction • Attackers are using the web in various ways to: – Push users to their malicious sites – Gain access to computers – Steal information • They use many technologies – Java/Javascript HTML – Iframes Encoding/Obfuscation – Spam Injection Introduction • For this talk we analyzed different types of attacks – Blog Spam – Web site injection • We dissect the attacks piece by piece to analyze and show – Source code Commands – Network traffic Attack Goals – Binaries Attackers Blog Spam • Analysis process – View victim blog, locate malicious comments – Trace back all A HREFs in comments – WGET code from attacker site • Follow any links • Decode obfuscated instructions • Debug javascript – Firebug, Venkman • Decompile Java Applets – Lookup owners of domains / IPs – Reverse any exploits / binaries Blog Spam • 1st Stage of the attack – Uses comments to sites – Blogs such as Drupal & Wordpress • Comments: – Usually in response to valid post – Splice together random but legitimate phrases from sources such as wikipedia – Contain several linked words to various sites – Will be added en mass to many disparate posts – Often will have non-English embedded words such as Italian, German, Russian Shows some comments added to a legitimate post. -
Battling the Internet Water Army: Detection of Hidden Paid Posters
Battling the Internet Water Army: Detection of Hidden Paid Posters Cheng Chen Kui Wu Venkatesh Srinivasan Xudong Zhang Dept. of Computer Science Dept. of Computer Science Dept. of Computer Science Dept. of Computer Science University of Victoria University of Victoria University of Victoria Peking University Victoria, BC, Canada Victoria, BC, Canada Victoria, BC, Canada Beijing, China Abstract—We initiate a systematic study to help distinguish on different online communities and websites. Companies are a special group of online users, called hidden paid posters, or always interested in effective strategies to attract public atten- termed “Internet water army” in China, from the legitimate tion towards their products. The idea of online paid posters ones. On the Internet, the paid posters represent a new type of online job opportunity. They get paid for posting comments is similar to word-of-mouth advertisement. If a company hires and new threads or articles on different online communities enough online users, it would be able to create hot and trending and websites for some hidden purposes, e.g., to influence the topics designed to gain popularity. Furthermore, the articles opinion of other people towards certain social events or business or comments from a group of paid posters are also likely markets. Though an interesting strategy in business marketing, to capture the attention of common users and influence their paid posters may create a significant negative effect on the online communities, since the information from paid posters is usually decision. In this way, online paid posters present a powerful not trustworthy. When two competitive companies hire paid and efficient strategy for companies. -
The History of Digital Spam
The History of Digital Spam Emilio Ferrara University of Southern California Information Sciences Institute Marina Del Rey, CA [email protected] ACM Reference Format: This broad definition will allow me to track, in an inclusive Emilio Ferrara. 2019. The History of Digital Spam. In Communications of manner, the evolution of digital spam across its most popular appli- the ACM, August 2019, Vol. 62 No. 8, Pages 82-91. ACM, New York, NY, USA, cations, starting from spam emails to modern-days spam. For each 9 pages. https://doi.org/10.1145/3299768 highlighted application domain, I will dive deep to understand the nuances of different digital spam strategies, including their intents Spam!: that’s what Lorrie Faith Cranor and Brian LaMacchia ex- and catalysts and, from a technical standpoint, how they are carried claimed in the title of a popular call-to-action article that appeared out and how they can be detected. twenty years ago on Communications of the ACM [10]. And yet, Wikipedia provides an extensive list of domains of application: despite the tremendous efforts of the research community over the last two decades to mitigate this problem, the sense of urgency ``While the most widely recognized form of spam is email spam, the term is applied to similar abuses in other media: instant remains unchanged, as emerging technologies have brought new messaging spam, Usenet newsgroup spam, Web search engine spam, dangerous forms of digital spam under the spotlight. Furthermore, spam in blogs, wiki spam, online classified ads spam, mobile when spam is carried out with the intent to deceive or influence phone messaging spam, Internet forum spam, junk fax at scale, it can alter the very fabric of society and our behavior. -
Image Spam Detection: Problem and Existing Solution
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 02 | Feb 2019 www.irjet.net p-ISSN: 2395-0072 Image Spam Detection: Problem and Existing Solution Anis Ismail1, Shadi Khawandi2, Firas Abdallah3 1,2,3Faculty of Technology, Lebanese University, Lebanon ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Today very important means of communication messaging spam, Internet forum spam, junk fax is the e-mail that allows people all over the world to transmissions, and file sharing network spam [1]. People communicate, share data, and perform business. Yet there is who create electronic spam are called spammers [2]. nothing worse than an inbox full of spam; i.e., information The generally accepted version for source of spam is that it crafted to be delivered to a large number of recipients against their wishes. In this paper, we present a numerous anti-spam comes from the Monty Python song, "Spam spam spam spam, methods and solutions that have been proposed and deployed, spam spam spam spam, lovely spam, wonderful spam…" Like but they are not effective because most mail servers rely on the song, spam is an endless repetition of worthless text. blacklists and rules engine leaving a big part on the user to Another thought maintains that it comes from the computer identify the spam, while others rely on filters that might carry group lab at the University of Southern California who gave high false positive rate. it the name because it has many of the same characteristics as the lunchmeat Spam that is nobody wants it or ever asks Key Words: E-mail, Spam, anti-spam, mail server, filter. -
Understanding the Business Ofonline Pharmaceutical Affiliate Programs
PharmaLeaks: Understanding the Business of Online Pharmaceutical Affiliate Programs Damon McCoy Andreas Pitsillidis∗ Grant Jordan∗ Nicholas Weaver∗† Christian Kreibich∗† Brian Krebs‡ Geoffrey M. Voelker∗ Stefan Savage∗ Kirill Levchenko∗ Department of Computer Science ∗Department of Computer Science and Engineering George Mason University University of California, San Diego †International Computer Science Institute ‡KrebsOnSecurity.com Berkeley, CA Abstract driven by competition between criminal organizations), a broad corpus of ground truth data has become avail- Online sales of counterfeit or unauthorized products able. In particular, in this paper we analyze the content drive a robust underground advertising industry that in- and implications of low-level databases and transactional cludes email spam, “black hat” search engine optimiza- metadata describing years of activity at the GlavMed, tion, forum abuse and so on. Virtually everyone has en- SpamIt and RX-Promotion pharmaceutical affiliate pro- countered enticements to purchase drugs, prescription- grams. By examining hundreds of thousands of orders, free, from an online “Canadian Pharmacy.” However, comprising a settled revenue totaling over US$170M, even though such sites are clearly economically moti- we are able to provide comprehensive documentation on vated, the shape of the underlying business enterprise three key aspects of underground advertising activity: is not well understood precisely because it is “under- Customers. We provide detailed analysis on the con- ground.” In this paper we exploit a rare opportunity to sumer demand for Internet-advertised counterfeit phar- view three such organizations—the GlavMed, SpamIt maceuticals, covering customer demographics, product and RX-Promotion pharmaceutical affiliate programs— selection (including an examination of drug abuse as a from the inside.