Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7D3A3D55618038CA147897CFF2FFE05131FB1AABA5586802A9EC26C96CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:/m0RQ7Hc7q+9Vm5kgc1ztsfWahZlBWq5+/Ibe0/+lFsR8MLqcfHFsR8MLqcMp0:e0RQ7HaqmVm5kgc1ztseayXD0/fmf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc9fc5d1c6c59092 |
|
VISUAL
aHash
|
ff8f8f83c3c3c3c3 |
|
VISUAL
dHash
|
7b3b3f372b3b1707 |
|
VISUAL
wHash
|
ff8387838383c3c3 |
|
VISUAL
colorHash
|
06e00010000 |
|
VISUAL
cropResistant
|
7b3b3f372b3b1707,dc58583a335858d8,0543838d87c2c2e0,fcf1fdfdd7dbcbbc,ce9878b892464646 |
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 145 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)