Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CE2D631A148683F069B73E1FBB1A35BA2958389EA434725C2FD874D1BEBC90DD074D8 |
|
CONTENT
ssdeep
|
384:w99pII2keo8IIIII9/lBMHEy9bUGiHeNBOpz8c8QY6LcsWpi49SvuScAXgea4HQ3:QII0IIIII3yFUGiHefOpI36LZWpiVrap |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e3713c1c3963c6 |
|
VISUAL
aHash
|
00e5ffff3f181810 |
|
VISUAL
dHash
|
96cdcbf3e5e1f0e0 |
|
VISUAL
wHash
|
00e5ffdf7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000c8d4c4000000,96cdcbf3e5e1f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)