Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134D123E1D404DD37475286D9E7BA2B0FB6D1C359DF020944A3FC83AB5FDAC50CA22A99 |
|
CONTENT
ssdeep
|
96:Tk6NDOYReSTJ8v67KvKFtctGnuF2mXSHFkeXBX/S/YBqHST5J:Q6NDOYx98i48KtGnvZXC0qyb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b236cccd993332e4 |
|
VISUAL
aHash
|
ffe7c3c3e7ffffff |
|
VISUAL
dHash
|
204d4d4d4c320c00 |
|
VISUAL
wHash
|
ffe7c3c3000003ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
204d4d4d4c320c00,8888704121213130 |
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.