Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1161200292550101F43A7EDD264113B1A31B3F747E58928E751ACC5FD7FC2EAAEA0B6B0 |
|
CONTENT
ssdeep
|
192:fr+nlnIaBJHO9eE5lNHDl56/Rrv39arlpSuFSl9AWhrw+tGd45NbVlMsbK6V6RNX:frKlfBFO9eE5lNHDl56/Rrv39arlpSuD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c3c6363631c9c67 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
cc323232b2b2320c |
|
VISUAL
wHash
|
00181a1a795b1804 |
|
VISUAL
colorHash
|
060001c0000 |
|
VISUAL
cropResistant
|
8cccbeb0333b8496,cc323232b2b2320c |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)