Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1470265B24124E922A137D1C4E9F12B6F3190430F97835A819BF9835FD6CBDE5ED917A0 |
|
CONTENT
ssdeep
|
96:28YlfHNSng7dr/YFTuZSLIxBwI7B1ItBGIyZ38z11E7ZRPJ7Zu+Axdy:1YlfHs2yMZKdryZvZQy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
849999915b6a3f6a |
|
VISUAL
aHash
|
7e7fe76076062000 |
|
VISUAL
dHash
|
d0d48ea4a4a6cee0 |
|
VISUAL
wHash
|
7e7fe7707e061200 |
|
VISUAL
colorHash
|
100002000c0 |
|
VISUAL
cropResistant
|
d8dc9c9c94945cd4,c0c0c0e0d8cc92bb,d0d48ea4a4a6cee0 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.