Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184228442A4745C2B127B51D7FE95F29CB37681B8DA252820A4BD10EC2BECFE5192F335 |
|
CONTENT
ssdeep
|
192:9kj9kRek5VQydIIZzo4n3NK/MBMrXwjeC4c2mnZSImW4TZwK4I4Tl2EAmS4yFlNx:eIoydII/n8/MaLSg3Kdimjklf1aMuxOZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c916e91678c532ed |
|
VISUAL
aHash
|
000000000038ffff |
|
VISUAL
dHash
|
6a70929297d0c313 |
|
VISUAL
wHash
|
183c4242007effff |
|
VISUAL
colorHash
|
0a000000180 |
|
VISUAL
cropResistant
|
d4d3535353535353,ca4a5a4a1ada181a,ea69f092929433d4,2774343c0c6c672a |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.