Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10743D63161826E33829B82D5727153AE63A0C64DCFE702605AFF435ECBE7D65EF2A105 |
|
CONTENT
ssdeep
|
768:ijvSIIjP66MJxbGZ5peIc44q+ZgiE+6/XIid:ijvSIIj6t5SytZgiE+6/Xd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7a43c399cc6c671 |
|
VISUAL
aHash
|
0660707e74606014 |
|
VISUAL
dHash
|
d4d7c5e4d4c9c234 |
|
VISUAL
wHash
|
7e61707e6660607e |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
68694d49ebaa2a09,12294cd5b03b2ba7,d4d7c5e4d4c9c234 |
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 193448 techniques to evade detection by security scanners and make reverse engineering more difficult.