Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1194386E13C18B13982D771CEB538F90DE38281CACA46B79177F843ACA3E9FA16D51165 |
|
CONTENT
ssdeep
|
1536:VHEKPGWo33DTf1o0ecgUB65ZOVxyPy4u5toMy1gUq0:VHE2zsTz2wVeE5AgUJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc2b2a2b2b3b032f |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
7b3626382f2037ba |
|
VISUAL
wHash
|
0083838f83ff837f |
|
VISUAL
colorHash
|
07001002080 |
|
VISUAL
cropResistant
|
3227303f23303fb0,81604b71794b2481 |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)