Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A520211666C443E56B31AD0FD4BB6302C76B339F10B502AEF6C305E19A8FD2B766D92 |
|
CONTENT
ssdeep
|
192:eDz6Xs3xQ6MoF004O4K0onDPGcPsqjG8OG0hKhjZh3An/K:eDks3dy0v47gDPK8OXh62K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d623d4a85caad7a2 |
|
VISUAL
aHash
|
bf00000000ffffff |
|
VISUAL
dHash
|
73c8c8ccc320392c |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
03000000180 |
|
VISUAL
cropResistant
|
0040686b6b640000,8238283828392c4c,4096c8c8c8ccc238 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.