Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C441970C11D667601E712D192A87FEA32A1A3C4D692066AFAF4C31DDFD1DE1AD1E32C |
|
CONTENT
ssdeep
|
1536:X/PBVQcoVo1ogo5A3FZNhAe+VfFsONfpbeOIgb2pI9ivjuTIAVakoPxc/IitQmP0:vPFFH/PNOJ1b6na//xMMUDbco/LrCqX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92c34d0d73760c7b |
|
VISUAL
aHash
|
00ffffefef120400 |
|
VISUAL
dHash
|
c2d12909c9b62c6d |
|
VISUAL
wHash
|
00fffdefef120400 |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
8282828282820082,992909c9bab6ac2c,391c3c9d98d6323b,fdf9f10011000000,c8c89c93f2f29398,0303030303030303,0522032a23656b63,b3b6e4ac34b46c34,8c8e8eceb5b1b9ac |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)