Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176527327D105953D0E9B0189F6819FCFF26AC1CDFA300AD3B9B5D06E36D0EE4A536A94 |
|
CONTENT
ssdeep
|
384:1GGhGmQrXXBlubQh6b2+2Dg9ersTT+lfMmUFCoN3Y7FiRO:gXXgtbZ2Dg9/f+lfBUsT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92f46dcd9a922ce4 |
|
VISUAL
aHash
|
f940e64e6c006e01 |
|
VISUAL
dHash
|
03868c8ca8c2ca01 |
|
VISUAL
wHash
|
fb62e66c7c00fe01 |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
1fdfceaee6ced060,03868c8ca8c2ca01 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)