Data Scavenging

Table 3-2 shows the summary information for the data-scavenging attack.
Table 3-2. Data Scavenging
Table 3-2. Data Scavenging
|
Attack name |
Data scavenging |
|
Class/subclass |
Read/reconnaissance |
|
Sample implementations |
Network utilities: Whois, Nslookup, Finger, Traceroute, Ping Google (http://www.google.com) |
|
Prerequisites |
None |
|
Pertinent vulnerability |
None |
|
Typical use |
Learn IP ranges, DNS servers, mail servers, public systems, points of contact, and so forth |
|
Attack result |
Disclosure of information |
|
Likely follow-up attack |
Probing and scanning |
|
OSI layers |
37 |
|
Detection |
Nearly impossible |
|
Protection |
None |
|
Detection difficulty |
5 |
|
Ease of use |
4 |
|
Frequency |
5 |
|
Impact |
1 |
|
Overall rating |
32 |
Data scavenging is generally step 1 in any deliberate attack against a network. Here, the attacker uses a combination of network-based utilities and Internet search engine queries to learn as much as possible about the target company. The attack is almost impossible to detect for two main reasons:
• If the attack is using network utilities such as Ping, Traceroute, and so on, the volume of traffic is so low that it is impossible to single out the attacker. Additionally, it is hard to differentiate between legitimate use of these protocols and an attacker's use of them.
• The information gained through Whois, Nslookup, or Internet search engines is usually public information that can be learned by anyone.
Oftentimes, the information gained by the attacker comes from servers other than the victim's servers (as is the case with Whois queries). Using an Internet search engine can yield all sorts of good information as well. After a successful data-scavenging attack, the attacker might know the following about the victim network:
• IP addresses of critical systems (WWW, DNS, mail)
• IP ranges assigned to the victim
• Internet service provider (ISP) of the victim
Continue reading here: Example 31 Nmap Ping Sweep
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