Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11723427050F9B97B505787E6F7B13BAB73E8438AD6031B0083F947685B89C8DDC6A498 |
|
CONTENT
ssdeep
|
384:wuI2Ax1/IXshNHtan/VSDZo2qkS1LTflEMb2abc1bjFWbPvbSgh+rhzSkhaMhKhr:DAx1/IchzKuAEI2+cRjFyPzSTLwUQsm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f99696606b6992c6 |
|
VISUAL
aHash
|
ffffdf8981818181 |
|
VISUAL
dHash
|
c92c33333b33332b |
|
VISUAL
wHash
|
ffffdb8181818181 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
c92c33333b33332b,e6f7f5f5e5e7fffa,2100414171310121,7f7e7ce64f270787,4c4ddccd0d0d0d19 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)