Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E91A623914432350981A1157A43A3DED36400ACF7130B9DF4FD816EA2CE78CEAB79EB |
|
CONTENT
ssdeep
|
96:T+b9Y2vNbN0z4KlrmEVD4JuuXZz9ARBT0lf5gMalQ0a3Tu:Kb9l44KlftuJuRBaf2llWi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8474379d6e6b884 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
60603136331b3734 |
|
VISUAL
wHash
|
0000df839f83cfdf |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
703626331b1f3434,0002606002003032 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.