Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150135072A0449A3F02C382DA77B5BB1EF6E6D249CA57065663F8C30D47D7E90CE32961 |
|
CONTENT
ssdeep
|
768:3gHH+IbK65x2NGL2Ro1EfsvZVLcaycEIsq:Qn+Ifzco1EMHgayc1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be5dc932362e49c1 |
|
VISUAL
aHash
|
98ffff87878787ff |
|
VISUAL
dHash
|
3130322d0d2f6f52 |
|
VISUAL
wHash
|
009e9e87858387ff |
|
VISUAL
colorHash
|
06400018000 |
|
VISUAL
cropResistant
|
30303a2d0d2f6f52,96920642888c8286,0010026869695006,6d74680a0b59b1e5 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.