Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEB162E2C414DD37471286D9E7F96B1B7695C349CB02198093FC83EB6BDAC60CB2169D |
|
CONTENT
ssdeep
|
96:TkAfzeNNeSTgGJt66WwvFDQeRXAfHFye5XkX/VBJ:QAfzeTkGJMOGfr6X5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
943b434f39383e47 |
|
VISUAL
aHash
|
00ffdfdfffdfffff |
|
VISUAL
dHash
|
8000a0b8b0a08080 |
|
VISUAL
wHash
|
007e1e0e0e1e7e7e |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
a080b0b8a0a08080,8000a0b8b0a08080 |
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.