Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFB28330A500A93B028393C1AB32570FB3D4D28ADB631F956BF4C39E9FCAC65DE16559 |
|
CONTENT
ssdeep
|
768:sjIF7K7D787uFKFsWUfDie4IP12+Uf79F:sjIF7K7D787uUFsWWDien12R79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd0eb133b6a94ca6 |
|
VISUAL
aHash
|
000038100008ffff |
|
VISUAL
dHash
|
4f34f47547529b4c |
|
VISUAL
wHash
|
011c7c38003cffff |
|
VISUAL
colorHash
|
0a007000000 |
|
VISUAL
cropResistant
|
6cec3d2d6e5c5656,d1d39b1b1b64ecea,571bf474754e539b |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.