Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C731317060504D3B4902E9E57BE9E91937C1C2D7CDA2180482EC9BCD1AF6E83ED1F1C9 |
|
CONTENT
ssdeep
|
24:hRfEwX8cscRlAUcx3QMZYAxDBrWS45WeWJ8ZKNuLj0k0tEfcqlTRk2NENyG0/cTR:Tv8RWlTc/YCDoS4IfJ8L0zRH2adYcyX0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98b0733d8d5adc86 |
|
VISUAL
aHash
|
0f0f1f1f1b180020 |
|
VISUAL
dHash
|
9899b2b2b2b239c6 |
|
VISUAL
wHash
|
cfcf5f1f1f180820 |
|
VISUAL
colorHash
|
16600018000 |
|
VISUAL
cropResistant
|
64697ae2c0330bce,9899b2b2b2b239c6 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)