Code-Red: a case study on the spread and victims of an internet worm
By David Moore, Colleen Shannon, K. Claffy. 2002
968 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Cliff Changchun Zou
- Sumeet Singh
- David Dagon
- David M. Nicol
- Niels Provos
- Thorsten Holz
- Michael Bailey
- Andreas Haeberlen
Citations in the corpus
- Modeling Botnet Propagation Using Time Zones (2006, background): “For example, Code Red is one such worm, which nished its infection in 14 hours [ Moo02a ].”
- An Inside Look at Botnets (2007, background): “characterized the Code Red I/II worm outbreaks in [29] and the Sapphire/Slammer worm outbreak [2 7] providing key details on propagation methods and infection rates.”
- Secure or insure?: a game-theoretic analysis of information security games (2008, background): “The " I Love You " virus [27], Code Red [29] and Slammer worms [28], to cite the most famous cases, have infected hundreds of thousands of machines and caused, all together, billions of dollars in damages.”
- Measurements and Mitigation of Peer-to-Peer-based Botnets: A Case Study on Storm Worm (2008, methodology): “This propagation mechanism is used for example by CodeRed [21], Slammer [20], and all common IRC bots [3].”
- A Virtual Honeypot Framework (2004, methodology): “We simulate worm propagation based on the parameters for a Code-Red like worm [15, 17].”
- Understanding the Mirai Botnet (2017, background): “While randomized default passwords would be a first step, it is likely that attacks of the future will evolve to target software vulnerabilities in IoT devices much like the early Code Red and Confickr worms [8, 70].”
- Automated Worm Fingerprinting (2004, background): “To monitor random scanning worms from a global perspective, one approach is to use network telescopes (cid:150) passive network monitors that observe large ranges of unused, yet routable, address space [25, 22, 26].”
- A Survey on Malware Detection Using Data Mining Techniques (2017, background): “Just like the physical world, there are people with malicious intentions (i.e., cyber-criminals) on the Internet.”
- Preventing Internet denial-of-service with capabilities (2004, background): “The CodeRed and follow-on viruses have demonstrated repeatedly that it is possible to recruit millions of machines to the task of sending normal HTTP requests to a single destination [13] [12].”
- Misleading worm signature generators using deliberate noise injection (2006, unknown): “, CodeRed[12], Slammer[11], etc.”
- A survey of coordinated attacks and collaborative intrusion detection (2010, background): “It infected over 359,000 machines within 14 h (Moore et al., 2002).”
- The monitoring and early detection of Internet worms (2005, unknown): “In the case of Code Red, more than 359 000 Code Red infected hosts were observed on July 19, 2001 by CAIDA [27].”
- Countering code-injection attacks with instruction-set randomization (2003, background): “Because such attacks can be launched over a network, they are regularly used to break into hosts or as an infection vector for computer worms [55, 4, 9, 10, 46, 64].”