Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDB3F97090C02E03EE11DA91DD6A77D731FA10A4D6B2C510AAF841CADBEEE976C361D6 |
|
CONTENT
ssdeep
|
1536:U44rJEBql44AyyrL2NtLAUZ532SRDIRdf5Z7w2IEAqoSR7iLXSf/yxYWW9C4BU7L:lojB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9564cb38b718c76a |
|
VISUAL
aHash
|
c0f2762606061c3e |
|
VISUAL
dHash
|
1626e6ccccbc386a |
|
VISUAL
wHash
|
c0f2f67606071e3e |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
a8ece4e8a4aca28a,82c0ccd4c0d8c8aa,92d0f0749ac8cc8a,1626e6ccccbc386a |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 165 techniques to evade detection by security scanners and make reverse engineering more difficult.