Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160E112E1D405DD37475281D9F7BA6B0FB6D1C34ADF02094463F883AB5BDACA0CA1269D |
|
CONTENT
ssdeep
|
96:TkwP4ZOYReSTJ8v67av2btctGytFP4XuF2+XD6HF/qXOX//UYBqHST5J:Qw2OYx98i4sKtGy36i6LXU0qyb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc05dcfc05 |
|
VISUAL
aHash
|
3f2f3f3f3fffffff |
|
VISUAL
dHash
|
d4ccdcd8d4c00080 |
|
VISUAL
wHash
|
2727000000ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d4ccdcd8d4c00080,f382b496b6b482f3,7171162800000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.