- 1. Bits and Bytes
- 2. DNS and DNS cache poisoning
- 3. DDos (distributed denial-of-service ) attack
- 1. Definition
- 2. types of attacking
- 3. Symptom
- 4. Attack techniques
- 1. Attack tools
- 2. Application-layer floods
- 3. Degradation-of-service attacks
- 4. Denial-of-service Level II
- 5. Distributed DoS attack
- 6. DDoS extortion
- 7. HTTP POST DoS attack
- 8. Internet Control Message Protocol (ICMP) flood
- 9. Nuke
- 10. Peer-to-peer attacks
- 11. Permanent denial-of-service attacks
- 12. Reflected / spoofed attack
- 13. Amplification
- 14. R-U-Dead-Yet? (RUDY)
- 15. Shrew attack
- 16. Slow Read attack
- 17. Sophisticated low-bandwidth Distributed Denial-of-Service Attack
- 18. (S)SYN flood
- 19. Teardrop attacks
- 5. Defense techniques
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1. Bits and Bytes
1. Basic Knowledge abut Bit and Bytes
- a “bit” is the smallest unit of storage
- A bit stores just a 0 or 1
- In a chip: electric charge = 0/1
- In a hard drive: spots of North/South magnetism = 0/1
- 1 byte = grouping of 8 bits
- e.g. 0 1 0 1 1 0 1 0
1 bytecan store
1 character, e.g. ‘A’ or ‘x’ or ‘$’
2. How Many Patterns With N Bits? (demo)
In general: add 1 bit, double the number of patterns
1. 1 bit – 2 patterns
2. 2 bits – 4
3. 3 bits – 8
4. 4 bits – 16
5. 5 bits – 32
6. 6 bits – 64
7. 7 bits – 128
8. 8 bits – 256 – one byte
Mathematically: n bits yields 2^n^ patterns (2 to the nth power)
3. How to use byte
- “Byte” – unit of information storage
- A document, an image, a movie .. how many bytes?
- 1 byte is enough to hold about 1 typed character, e.g. ‘b’ or ‘X’ or ‘$’
- Later we’ll look at storage in: RAM, hard drives, flash drives
- All measured in bytes, despite being very different hardware
KB, about 1 thousand bytes
MB, about 1 million bytes
GB, about 1 billion bytes
TB, about 1 trillion bytes (rare)
2. DNS and DNS cache poisoning
The Domain Name System (DNS) is a hierarchical decentralized naming system for computers, services, or other resources connected to the Internet or a private network. It associates various information with domain names assigned to each of the participating entities. Most prominently, it translates more readily memorized domain names to the numerical IP addresses needed for locating and identifying computer services and devices with the underlying network protocols.
The Internet maintains 2 principal namespaces:
- the domain name hierarchy.
- the Internet Protocol (IP) address spaces.
The Domain Name System maintains the domain name hierarchy and provides translation services between it and the address spaces.
It serves as the phone book for the Internet by translating human-friendly computer hostnames into IP addresses.
For example, the domain name www.example.com translates to the addresses 18.104.22.168 (IPv4) and 2606:2800:220:6d:26bf:1447:1097:aa7 (IPv6).
3. DNS cache poisoning
A type of attack that exploits vulnerabilities in the domain name system (DNS) to divert Internet traffic away from legitimate servers and towards fake ones.
One of the reasons DNS poisoning is so dangerous is because it can spread from DNS server to DNS server
3. DDos (distributed denial-of-service ) attack
A Distributed Denial of Service (DDoS) attack is an attempt to make an online service
overwhelming it with traffic from multiple sources
2. types of attacking
1. Distributed DoS
A distributed denial-of-service (DDoS) is a DoS attack where the perpetrator uses
more than one unique IP address, often
thousands of them. Since the incoming traffic flooding the victim originates from
many different sources, it is
impossible to stop the attack simply by using ingress filtering. It also makes it very difficult to distinguish legitimate user traffic from attack traffic when spread across so many points of origin. As an alternative or augmentation of a DDoS, attacks may involve forging of IP sender addresses (IP address spoofing) further complicating identifying and defeating the attack.
2. Application layer attacks
application layer DDoS attack (sometimes referred to as layer 7 DDoS attack) is a form of DDoS attack where attackers target the application layer of the OSI model.The attack over-exercises specific functions or features of a website with the intention to disable those functions or features. This application-layer attack is different from an entire network attack, and is often used
against financial institutions to distract IT and security personnel from security breaches.
1. Application layer
The Open Systems Interconnection (OSI) model is a conceptual model that characterizes and standardizes the internal functions of a communication system by partitioning it into abstraction layers. The model is a product of the Open Systems Interconnection project at the International Organization for Standardization (ISO). The model groups similar communication functions into one of seven logical layers. A layer serves the layer above it and is served by the layer below it. For example, a layer that provides error-free communications across a network provides the path needed by applications above it, while it calls the next lower layer to send and receive packets that make up the contents of that path. Two instances at one layer are connected by a horizontal connection on that layer.
Main article: Application layer
In the OSI model, the definition of its application layer is narrower in scope. The OSI model defines the application layer as being the user interface. The OSI application layer is responsible for displaying data and images to the user in a human-recognizable format and to interface with the presentation layer below it.
2. Method of attack
An application layer DDoS attack is done mainly for specific targeted purposes, including disrupting transactions and access to databases. It requires less resources and often accompanies network layer attacks. An attack is disguised to look like legitimate traffic, except it targets specific application packets. The attack on the application layer can disrupt services* such as the retrieval of information or search function as well as web browser function, email services and photo applications. In order to be deemed a distributed denial of service attack, **more than around 3–5 nodes on different networks should be used; using fewer than 3–58* nodes qualifies as a Denial-of-service attack and **not a DDoS.
3. Advanced persistent DoS
An advanced persistent DoS (APDoS) is more likely to be perpetrated by an advanced persistent threat (APT): actors who are well-resourced, exceptionally skilled and have access to substantial commercial grade computer resources and capacity. APDoS attacks represent a clear and emerging threat needing specialized monitoring and incident response services and the defensive capabilities of specialized DDoS mitigation service providers.
This type of attack involves massive network layer DDoS attacks through to focused application layer (HTTP) floods, followed by repeated (at varying intervals) SQLi and XSS attacks. Typically, the perpetrators can simultaneously use from 2 to 5 attack vectors involving up to several tens of millions of requests per second, often accompanied by large SYN floods that can not only attack the victim but also any service provider implementing any sort of managed DDoS mitigation capability. These attacks can persist for several weeks the longest continuous period noted so far lasted 38 days. This APDoS attack involved approximately 50+ petabits (50,000+ terabits) of malicious traffic.
Attackers in this scenario may (or often will) tactically switch between several targets to create a diversion to evade defensive DDoS countermeasures but all the while eventually concentrating the main thrust of the attack onto a single victim. In this scenario, threat actors with continuous access to several very powerful network resources are capable of sustaining a prolonged campaign generating enormous levels of un-amplified DDoS traffic.
APDoS attacks are characterized by:
- advanced reconnaissance (pre-attack OSINT and extensive decoyed scanning crafted to evade detection over long periods)
tactical execution (attack with a primary and secondary victims but focus is on primary)
explicit motivation (a calculated end game/goal target)
large computing capacity (access to substantial computer power and network bandwidth resources)
simultaneous multi-threaded OSI layer attacks (sophisticated tools operating at layers 3 through 7)
persistence over extended periods (using all the above into a concerted, well managed attack across a range of targets).
4. Denial-of-service as a service
Some vendors provide so-called “booter” or “stresser” services, which have simple web-based front ends, and accept payment over the web. Marketed and promoted as stress-testing tools, they can be used to perform unauthorized denial-of-service attacks, and allow technically unsophisticated attackers access to sophisticated attack tools without the need for the attacker to understand their use. Usually powered by a botnet, the traffic produced by a consumer stresser can range anywhere from 5-50 Gbit/s, which can, in most cases, deny the average home user internet access.
- unusually slow network performance (opening files or accessing web sites)
unavailability of a particular web site
inability to access any web site
dramatic increase in the number of spam emails received (this type of DoS attack is considered an e-mail bomb).
disconnection of a wireless or wired internet connection
long-term denial of access to the web or any internet services.
If the attack is conducted on a sufficiently large scale, entire geographical regions of Internet connectivity can be compromised without the attacker’s knowledge or intent by incorrectly configured or flimsy network infrastructure equipment.
4. Attack techniques
1. Attack tools
In cases such as MyDoom the tools are embedded in malware, and launch their attacks without the knowledge of the system owner. Stacheldraht is a classic example of a DDoS tool. It uses a layered structure where the attacker uses a client program to connect to handlers, which are compromised
systems that issue commands to the zombie agents, which in turn facilitate the DDoS attack. Agents are compromised via the handlers by the attacker, using automated routines to exploit
vulnerabilities in programs that accept remote connections running on the targeted remote hosts. Each handler can control up to a thousand agents.
In other cases a machine may become part of a DDoS attack with the owner’s consent, for example, in Operation Payback, organized by the group Anonymous. The LOIC has typically been used in this way. Along with HOIC a wide variety of DDoS tools are available today, including paid and free versions, with different features available. There is an underground market for these in hacker related forums and IRC channels.
UK’s GCHQ has tools built for DDoS, named PREDATORS FACE and ROLLING THUNDER.
2. Application-layer floods
Various DoS-causing exploits such as buffer overflow can cause
- server-running software to get confused and fill the disk space or consume all available memory or CPU time
Other kinds of DoS rely primarily on brute force
flooding the target with an overwhelming flux of packets, oversaturating its connection bandwidth or depleting the target’s system resources.
Bandwidth-saturating floods rely on the attacker having higher bandwidth available than the victim; a common way of achieving this today is via distributed denial-of-service, employing a botnet. Another target of DDoS attacks may be to produce added costs for the application operator, when the latter uses resources based on cloud computing. In this case normally application used resources are tied to a needed Quality of Service level (e.g. responses should be less than 200 ms) and this rule is usually linked to automated software (e.g. Amazon CloudWatch) to raise more virtual resources from the provider in order to meet the defined QoS levels for the increased requests.
The main incentive behind such attacks may be to drive the application owner to raise the elasticity levels in order to handle the increased application traffic, in order to cause financial losses or force them to become less competitive.
Other floods may use specific packet types or connection requests to saturate finite resources by, for example, occupying the maximum number of open connections or filling the victim’s disk space with logs.
A “banana attack” is another particular type of DoS. It involves redirecting outgoing messages from the client back onto the client, preventing outside access, as well as flooding the client with the sent packets. A LAND attack is of this type.
An attacker with shell-level access to a victim’s computer may slow it until it is unusable or crash it by using a fork bomb.
A kind of application-level DoS attack is XDoS (or XML DoS) which can be controlled by modern web application firewalls (WAFs).
3. Degradation-of-service attacks
“Pulsing” zombies are compromised computers that are directed to launch intermittent and short-lived floodings of victim websites with the intent of merely slowing it rather than crashing it. This type of attack, referred to as “degradation-of-service” rather than “denial-of-service”, can be more difficult to detect than regular zombie invasions and can disrupt and hamper connection to websites for prolonged periods of time, potentially causing more disruption than concentrated floods.Exposure of degradation-of-service attacks is complicated further by the matter of discerning whether the server is really being attacked or under normal traffic loads
4. Denial-of-service Level II
The goal of DoS L2 (possibly DDoS) attack is to cause a launching of a defense mechanism which blocks the network segment from which the attack originated. In case of distributed attack or IP header modification (that depends on the kind of security behavior) it will fully block the attacked network from the Internet, but without system crash.
5. Distributed DoS attack
A distributed denial-of-service (DDoS) attack occurs when multiple systems flood the bandwidth or resources of a targeted system, usually one or more web servers.
Such an attack is often the result of multiple compromised systems (for example, a botnet)
flooding the targeted system with traffic.
A botnet is a network of zombie computers programmed to receive commands without the owners’ knowledge. When a server is overloaded with connections, new connections can no longer be accepted. The major advantages to an attacker of using a distributed denial-of-service attack are that multiple machines can generate more attack traffic than one machine, multiple attack machines are harder to turn off than one attack machine, and that the behavior of each attack machine can be stealthier, making it harder to track and shut down. These attacker advantages cause challenges for defense mechanisms. For example, merely purchasing more incoming bandwidth than the current volume of the attack might not help, because the attacker might be able to simply add more attack machines. This, after all, will end up completely crashing a website for periods of time.
Malware can carry DDoS attack mechanisms; one of the better-known examples of this was MyDoom. Its DoS mechanism was triggered on a specific date and time. This type of DDoS involved hardcoding the target IP address prior to release of the malware and no further interaction was necessary to launch the attack.
A system may also be compromised with a trojan, allowing the attacker to download a zombie agent, or the trojan may contain one. Attackers can also break into systems using automated tools that exploit flaws in programs that listen for connections from remote hosts. This scenario primarily concerns systems acting as servers on the web. Stacheldraht is a classic example of a DDoS tool. It uses a layered structure where the attacker uses a client program to connect to handlers, which are compromised systems that issue commands to the zombie agents, which in turn facilitate the DDoS attack. Agents are compromised via the handlers by the attacker, using automated routines to exploit vulnerabilities in programs that accept remote connections running on the targeted remote hosts. Each handler can control up to a thousand agents. In some cases a machine may become part of a DDoS attack with the owner’s consent, for example, in Operation Payback, organized by the group Anonymous. These attacks can use different types of internet packets such as: TCP, UDP, ICMP etc.
These collections of systems compromisers are known as botnets / rootservers. DDoS tools like Stacheldraht still use classic DoS attack methods centered on IP spoofing and amplification like smurf attacks and fraggle attacks (these are also known as bandwidth consumption attacks). SYN floods (also known as resource starvation attacks) may also be used. Newer tools can use DNS servers for DoS purposes. Unlike MyDoom’s DDoS mechanism, botnets can be turned against any IP address. Script kiddies use them to deny the availability of well known websites to legitimate users. More sophisticated attackers use DDoS tools for the purposes of extortion – even against their business rivals.
Simple attacks such as SYN floods may appear with a wide range of source IP addresses, giving the appearance of a well distributed DoS. These flood attacks do not require completion of the TCP three way handshake and attempt to exhaust the destination SYN queue or the server bandwidth. Because the source IP addresses can be trivially spoofed, an attack could come from a limited set of sources, or may even originate from a single host. Stack enhancements such as syn cookies may be effective mitigation against SYN queue flooding, however complete bandwidth exhaustion may require involvement.[further explanation needed]
If an attacker mounts an attack from a single host it would be classified as a DoS attack. In fact, any attack against availability would be classed as a denial-of-service attack. On the other hand, if an attacker uses many systems to simultaneously launch attacks against a remote host, this would be classified as a DDoS attack.
It has been reported that there are new attacks from internet of things which have been involved in denial of service attacks.  In one noted attack that was made peaked at around 20,000 requests per second which came from around 900 CCTV cameras. 
UK’s GCHQ has tools built for DDoS, named PREDATORS FACE and ROLLING THUNDER
6. DDoS extortion
In 2015, DDoS botnets such as DD4BC grew in prominence, taking aim at financial institutions. Cyber-extortionists typically begin with a low-level attack and a warning that a larger attack will be carried out if a ransom is not paid in Bitcoin. Security experts recommend targeted websites to not pay the ransom. The attackers tend to get into an extended extortion scheme once they recognize that the target is ready to pay
7. HTTP POST DoS attack
First discovered in 2009, the HTTP POST attack sends a complete, legitimate HTTP POST header, which includes a ‘Content-Length’ field to specify the size of the message body to follow. However, the attacker then proceeds to send the actual message body at an extremely slow rate (e.g. 1 byte/110 seconds). Due to the entire message being correct and complete, the target server will attempt to obey the ‘Content-Length’ field in the header, and wait for the entire body of the message to be transmitted, which can take a very long time. The attacker establishes hundreds or even thousands of such connections, until all resources for incoming connections on the server (the victim) are used up, hence making any further (including legitimate) connections impossible until all data has been sent. It is notable that unlike many other (D)DoS attacks, which try to subdue the server by overloading its network or CPU, a HTTP POST attack targets the logical resources of the victim, which means the victim would still have enough network bandwidth and processing power to operate. Further combined with the fact that Apache will, by default, accept requests up to 2GB in size, this attack can be particularly powerful. HTTP POST attacks are difficult to differentiate from legitimate connections, and are therefore able to bypass some protection systems. OWASP, an open source web application security project, has released a testing tool to test the security of servers against this type of attacks.
8. Internet Control Message Protocol (ICMP) flood
A smurf attack relies on misconfigured network devices that allow packets to be sent to all computer hosts on a particular network via the broadcast address of the network, rather than a specific machine. The attacker will send large numbers of IP packets with the source address faked to appear to be the address of the victim. The network’s bandwidth is quickly used up, preventing legitimate packets from getting through to their destination.
Ping flood is based on sending the victim an overwhelming number of ping packets, usually using the “ping” command from Unix-like hosts (the -t flag on Windows systems is much less capable of overwhelming a target, also the -l (size) flag does not allow sent packet size greater than 65500 in Windows). It is very simple to launch, the primary requirement being access to greater bandwidth than the victim.
Ping of death is based on sending the victim a malformed ping packet, which will lead to a system crash on a vulnerable system.
The BlackNurse attack is an example of an attack taking advantage of the required Destination Port Unreachable ICMP packets.
A Nuke is an old denial-of-service attack against computer networks consisting of fragmented or otherwise invalid ICMP packets sent to the target, achieved by using a modified ping utility to repeatedly send this corrupt data, thus slowing down the affected computer until it comes to a complete stop.
A specific example of a nuke attack that gained some prominence is the WinNuke, which exploited the vulnerability in the NetBIOS handler in Windows 95. A string of out-of-band data was sent to TCP port 139 of the victim’s machine, causing it to lock up and display a Blue Screen of Death (BSOD).
10. Peer-to-peer attacks
Attackers have found a way to exploit a number of bugs in peer-to-peer servers to initiate DDoS attacks. The most aggressive of these peer-to-peer-DDoS attacks exploits DC++. With peer-to-peer there is no botnet and the attacker does not have to communicate with the clients it subverts. Instead, the attacker acts as a “puppet master,” instructing clients of large peer-to-peer file sharing hubs to disconnect from their peer-to-peer network and to connect to the victim’s website instead.
11. Permanent denial-of-service attacks
Permanent denial-of-service (PDoS), also known loosely as phlashing, is an attack that damages a system so badly that it requires replacement or reinstallation of hardware. Unlike the distributed denial-of-service attack, a PDoS attack exploits security flaws which allow remote administration on the management interfaces of the victim’s hardware, such as routers, printers, or other networking hardware. The attacker uses these vulnerabilities to replace a device’s firmware with a modified, corrupt, or defective firmware image—a process which when done legitimately is known as flashing. This therefore “bricks” the device, rendering it unusable for its original purpose until it can be repaired or replaced.
The PDoS is a pure hardware targeted attack which can be much faster and requires fewer resources than using a botnet or a root/vserver in a DDoS attack. Because of these features, and the potential and high probability of security exploits on Network Enabled Embedded Devices (NEEDs), this technique has come to the attention of numerous hacking communities.
PhlashDance is a tool created by Rich Smith (an employee of Hewlett-Packard’s Systems Security Lab) used to detect and demonstrate PDoS vulnerabilities at the 2008 EUSecWest Applied Security Conference in London
12. Reflected / spoofed attack
A distributed denial-of-service attack may involve sending forged requests of some type to a very large number of computers that will reply to the requests. Using Internet Protocol address spoofing, the source address is set to that of the targeted victim, which means all the replies will go to (and flood) the target. (This reflected attack form is sometimes called a “DRDOS”.)
ICMP Echo Request attacks (Smurf attack) can be considered one form of reflected attack, as the flooding host(s) send Echo Requests to the broadcast addresses of mis-configured networks, thereby enticing hosts to send Echo Reply packets to the victim. Some early DDoS programs implemented a distributed form of this attack.
Amplification attacks are used to magnify the bandwidth that is sent to a victim. This is typically done through publicly accessible DNS servers that are used to cause congestion on the target system using DNS response traffic. Many services can be exploited to act as reflectors, some harder to block than others. US-CERT have observed that different services implies in different amplification factors, as you can see below
DNS amplification attacks involve a new mechanism that increased the amplification effect, using a much larger list of DNS servers than seen earlier. The process typically involves an attacker sending a DNS name look up request to a public DNS server, spoofing the source IP address of the targeted victim. The attacker tries to request as much zone information as possible, thus amplifying the DNS record response that is sent to the targeted victim. Since the size of the request is significantly smaller than the response, the attacker is easily able to increase the amount of traffic directed at the target. SNMP and NTP can also be exploited as reflector in an amplification attack.
An example of an amplified DDoS attack through NTP is through a command called monlist, which sends the details of the last 600 people who have requested the time from that computer back to the requester. A small request to this time server can be sent using a spoofed source IP address of some victim, which results in 556.9 times the amount of data that was requested back to the victim. This becomes amplified when using botnets that all send requests with the same spoofed IP source, which will send a massive amount of data back to the victim.
It is very difficult to defend against these types of attacks because the response data is coming from legitimate servers. These attack requests are also sent through UDP, which does not require a connection to the server. This means that the source IP is not verified when a request is received by the server. In order to bring awareness of these vulnerabilities, campaigns have been started that are dedicated to finding amplification vectors which has led to people fixing their resolvers or having the resolvers shut down completely.
14. R-U-Dead-Yet? (RUDY)
RUDY attack targets web applications by starvation of available sessions on the web server. Much like Slowloris, RUDY keeps sessions at halt using never-ending POST transmissions and sending an arbitrarily large content-length header value.
15. Shrew attack
The shrew attack is a denial-of-service attack on the Transmission Control Protocol. It uses short synchronized bursts of traffic to disrupt TCP connections on the same link, by exploiting a weakness in TCP’s retransmission timeout mechanism.
16. Slow Read attack
A slow read attack sends legitimate application layer requests, but reads responses very slowly, thus trying to exhaust the server’s connection pool. It is achieved by advertising a very small number for the TCP Receive Window size, and at the same time emptying clients’ TCP receive buffer slowly, which causes a very low data flow rate.
17. Sophisticated low-bandwidth Distributed Denial-of-Service Attack
18. (S)SYN flood
A SYN flood occurs when a host sends a flood of TCP/SYN packets, often with a forged sender address. Each of these packets are handled like a connection request, causing the server to spawn a half-open connection, by sending back a TCP/SYN-ACK packet (Acknowledge), and waiting for a packet in response from the sender address (response to the ACK Packet). However, because the sender address is forged, the response never comes. These half-open connections saturate the number of available connections the server can make, keeping it from responding to legitimate requests until after the attack ends.
19. Teardrop attacks
A teardrop attack involves sending mangled IP fragments with overlapping, oversized payloads to the target machine. This can crash various operating systems because of a bug in their TCP/IP fragmentation re-assembly code. Windows 3.1x, Windows 95 and Windows NT operating systems, as well as versions of Linux prior to versions 2.0.32 and 2.1.63 are vulnerable to this attack.
(Although in September 2009, a vulnerability in Windows Vista was referred to as a “teardrop attack”, this targeted SMB2 which is a higher layer than the TCP packets that teardrop used).
One of the fields in an IP header is the “fragment offset” field, indicating the starting position, or offset, of the data contained in a fragmented packet relative to the data in the original packet. If the sum of the offset and size of one fragmented packet differs from that of the next fragmented packet, the packets overlap. When this happens, a server vulnerable to teardrop attacks is unable to reassemble the packets – resulting in a denial-of-service condition.
####20. Telephony denial-of-service (TDoS)
Voice over IP has made abusive origination of large numbers of telephone voice calls inexpensive and readily automated while permitting call origins to be misrepresented through caller ID spoofing.
According to the US Federal Bureau of Investigation, telephony denial-of-service (TDoS) has appeared as part of various fraudulent schemes:
A scammer contacts the victim’s banker or broker, impersonating the victim to request a funds transfer. The banker’s attempt to contact the victim for verification of the transfer fails as the victim’s telephone lines are being flooded with thousands of bogus calls, rendering the victim unreachable.
A scammer contacts consumers with a bogus claim to collect an outstanding payday loan for thousands of dollars. When the consumer objects, the scammer retaliates by flooding the victim’s employer with thousands of automated calls. In some cases, displayed caller ID is spoofed to impersonate police or law enforcement agencies.
A scammer contacts consumers with a bogus debt collection demand and threatens to send police; when the victim balks, the scammer floods local police numbers with calls on which caller ID is spoofed to display the victims number. Police soon arrive at the victim’s residence attempting to find the origin of the calls.
Telephony denial-of-service can exist even without Internet telephony. In the 2002 New Hampshire Senate election phone jamming scandal, telemarketers were used to flood political opponents with spurious calls to jam phone banks on election day. Widespread publication of a number can also flood it with enough calls to render it unusable, as happened by accident in 1981 with multiple +1-area code-867-5309 subscribers inundated by hundreds of misdialed calls daily in response to the song 867-5309/Jenny.
TDoS differs from other telephone harassment (such as prank calls and obscene phone calls) by the number of calls originated; by occupying lines continuously with repeated automated calls, the victim is prevented from making or receiving both routine and emergency telephone calls.
Related exploits include SMS flooding attacks and black fax or fax loop transmission.
5. Defense techniques
- Application front end hardware
Application front-end hardware is intelligent hardware placed on the network before traffic reaches the servers. It can be used on networks in conjunction with routers and switches. Application front end hardware analyzes data packets as they enter the system, and then identifies them as priority, regular, or dangerous. There are more than 25 bandwidth management vendors.
- Application level Key Completion Indicators
In order to meet the case of application level DDoS attacks against cloud-based applications, approaches may be based on an application layer analysis, to indicate whether an incoming traffic bulk is legitimate or not and thus enable the triggering of elasticity decisions without the economical implications of a DDoS attack. These approaches mainly rely on an identified path of value inside the application and monitor the macroscopic progress of the requests in this path, towards the final generation of profit, through markers denoted as Key Completion Indicators.
In essence, this technique is a statistical method of assessing the behavior of incoming requests to detect if something unusual or abnormal is going on. Imagine if you were to observe the behavior of normal, paying customers at a brick-and-mortar department store. On average, they would spend in aggregate a known percentage of time on different activities such as picking up items and examining them, putting them back on shelves, trying on clothes, filling a basket, waiting in line, paying for their purchases, and leaving. These high-level activities correspond to the Key Completion Indicators in a service or site, and once normal behavior is determined, abnormal behavior can be identified. For example, if a huge number of customers arrive and spend all their time picking up items and setting them down, but never making any purchases, this can be flagged as unusual behavior.
In the case of elastic cloud services where a huge and abnormal additional workload may incur significant charges from the cloud service provider, this technique can be used to stop or even scale back the elastic expansion of server availability in order to protect from economic loss. In the example analogy, imagine that the department store had the ability to bring in additional employees on a few minutes’ notice and routinely did this during “rushes” of unusual customer volume. If a mob shows up that never does any buying, after a relatively short time of paying for the additional employee costs, the store can scale back the number of employees, understanding that the non-buying customers provide no profit for the store and thus should not be serviced. While this may prevent the store from making sales to legitimate customers during the period of attack, it saves the potentially ruinous cost of calling up huge numbers of employees to service an illegitimate load.
- Blackholing and sinkholing
With blackhole routing, all the traffic to the attacked DNS or IP address is sent to a “black hole” (null interface or a non-existent server). To be more efficient and avoid affecting network connectivity, it can be managed by the ISP.
A DNS sinkhole routes traffic to a valid IP address which analyzes traffic and rejects bad packets. Sinkholing is not efficient for most severe attacks
- IPS based prevention
Intrusion prevention systems (IPS) are effective if the attacks have
signatures associated with them. However, the trend among the attacks is to have legitimate content but bad intent. Intrusion-prevention systems which work on content recognition cannot block behavior-based DoS attacks.
An ASIC based IPS may detect and block denial-of-service attacks because they have the processing power and the granularity to analyze the attacks and act like a circuit breaker in an automated way.
A rate-based IPS (RBIPS) must analyze traffic granularly and continuously monitor the traffic pattern and determine if there is traffic anomaly. It must let the legitimate traffic flow while blocking the DoS attack traffic
- DDS based defense
More focused on the problem than IPS, a DoS defense system (DDS) can block connection-based DoS attacks and those with legitimate content but bad intent. A DDS can also address both protocol attacks (such as teardrop and ping of death) and rate-based attacks (such as ICMP floods and SYN floods).
- DDS based defense
In the case of a simple attack, a firewall could have a simple rule added to deny all incoming traffic from the attackers, based on protocols, ports or the originating IP addresses.
More complex attacks will however be hard to block with simple rules: for example, if there is an ongoing attack on port 80 (web service), it is not possible to drop all incoming traffic on this port because doing so will prevent the server from serving legitimate traffic. Additionally, firewalls may be too deep in the network hierarchy, with routers being adversely affected before the traffic gets to the firewall.
Similar to switches, routers have some rate-limiting and ACL capability. They, too, are manually set. Most routers can be easily overwhelmed under a DoS attack. Cisco IOS has optional features that can reduce the impact of flooding.
Most switches have some rate-limiting and ACL capability. Some switches provide automatic and/or system-wide rate limiting, traffic shaping, delayed binding (TCP splicing), deep packet inspection and Bogon filtering (bogus IP filtering) to detect and remediate DoS attacks through automatic rate filtering and WAN Link failover and balancing.
These schemes will work as long as the DoS attacks can be prevented by using them. For example, SYN flood can be prevented using delayed binding or TCP splicing. Similarly content based DoS may be prevented using deep packet inspection. Attacks originating from dark addresses or going to dark addresses can be prevented using bogon filtering. Automatic rate filtering can work as long as set rate-thresholds have been set correctly. Wan-link failover will work as long as both links have DoS/DDoS prevention mechanism.
- Upstream filtering
All traffic is passed through a “cleaning center” or a “scrubbing center” via various methods such as proxies, tunnels, digital cross connects, or even direct circuits, which separates “bad” traffic (DDoS and also other common internet attacks) and only sends good traffic beyond to the server. The provider needs central connectivity to the Internet to manage this kind of service unless they happen to be located within the same facility as the “cleaning center” or “scrubbing center”.