Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184927722A2061577715396EAA21D3E66F744DA81C7B747D8B3E6C23A4ACFC92CE2144C |
|
CONTENT
ssdeep
|
192:Q2Vp3J4BMGUOGUzHWP89YiMGWGzaG3mQKMArqqUBHSIPXKQkri2ydXfynF/+zqDT:b7UGm3KMLaoLqMoGkSFh1MODgsXnA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca649131d38ce37e |
|
VISUAL
aHash
|
6e60707070403e7c |
|
VISUAL
dHash
|
cc43c5e5c50530c9 |
|
VISUAL
wHash
|
7e7070707000fcfc |
|
VISUAL
colorHash
|
0e200030000 |
|
VISUAL
cropResistant
|
cc43c5e5c50530c9 |
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 92 techniques to evade detection by security scanners and make reverse engineering more difficult.