Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBE144E1C014DD3A072286D5F7F52B5BB591C359CF06098453F842AB9BDEC70CA26A99 |
|
CONTENT
ssdeep
|
96:Tkj79oh4lzH0XfeG9Edt7uvDwvFxexX1HFIeFXdz/tt7TqQPJ:Qj79oh4lzH0X19Ed4vBzVzz1NqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e56d61929a64cf4c |
|
VISUAL
aHash
|
e7c3c3c3ffefc3c3 |
|
VISUAL
dHash
|
96169616400e968e |
|
VISUAL
wHash
|
02c3c3c3dfc3c3c3 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
96169616400e968e,56ae2a4e5a292956,845ab8dad0a4ab44,49a6a6496b949469 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)