Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7231E30A401DD3702CBA6C49672162A72F68345C6235689FAF8C3FA5BAFD6DDE33514 |
|
CONTENT
ssdeep
|
768:CVt5sIx/jX+TwLdXdW/G+Em0bdrb0Iy3HxcdSbXRyGWxGAs6LyoUf7x:CRsIxCG+eRh29cdX07x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6487941db86ba2d |
|
VISUAL
aHash
|
0000077f2707078f |
|
VISUAL
dHash
|
548ef5cccedc1c1c |
|
VISUAL
wHash
|
0202077f7f470f8f |
|
VISUAL
colorHash
|
39601000000 |
|
VISUAL
cropResistant
|
e8f0f0c4e07cf3f4,d0da9bba9e9c7c74,664dc7c7c6cdad4d,a8834c4c876680aa,548ef5cccedc1c1c |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.