Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD13A496210466E5C1F38ECC98206554314AEA4FCD728770C6BC4E3A2BE39A57788F7F |
|
CONTENT
ssdeep
|
768:tgr/grwegrwvQ9CMtHbg1V3N5IQCp10Ohs4jY7yUjJoHVMZ:tgjgtgr9XG9bKM7jZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
add2a5de88a1f2a4 |
|
VISUAL
aHash
|
ff000f3f10000303 |
|
VISUAL
dHash
|
b7f119f2f276f696 |
|
VISUAL
wHash
|
ff1f7f7f10000303 |
|
VISUAL
colorHash
|
1ec00000040 |
|
VISUAL
cropResistant
|
04040c0c0c040408,01aa808c8c80aa01,b379d9f27276fe96 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.