Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F1267739145B81B52068281C2E1EE0E7646DA07CEA50D41D3F65BCB7EC5DB9F83A68C |
|
CONTENT
ssdeep
|
192:tbzLN0y0Vq6ATZwQ9IwcOGv922OV6N63+bYgkWgl:RSy0VqbZ39Iwe92jC6gel |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
896883215bb76f87 |
|
VISUAL
aHash
|
0000dbc300027e3c |
|
VISUAL
dHash
|
93b2b2bab2b2e869 |
|
VISUAL
wHash
|
0058dbcb5b1a7e3c |
|
VISUAL
colorHash
|
11000030000 |
|
VISUAL
cropResistant
|
a0bc888482818288,a00048080430b232,ccccccccececc8cc,93b2b2bab2b2e869 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)