Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5534030A410A93B01E786D96672576B72F98349D6230689BAF9C3ED1FDFC19CE3B114 |
|
CONTENT
ssdeep
|
1536:f44449sIxkYX891JkSagwN2vJdFsv9/1Bq79F:NYIbN2vJdFsv9/S7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa2bd1f434f98c2c |
|
VISUAL
aHash
|
0000010100ffffff |
|
VISUAL
dHash
|
7fdfffdfff272a4a |
|
VISUAL
wHash
|
0101030303ffffff |
|
VISUAL
colorHash
|
03002000180 |
|
VISUAL
cropResistant
|
7fdfffdfff272a4a,757dddf7ffdff636,b9c04040109c1042,5d170e2e2a366565 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.