Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186F22B33F2642E33627342E9B1816596F2DF511ACB428D60FE9C44B9B7C3DDA5D321A8 |
|
CONTENT
ssdeep
|
768:y4+6uu2+OCiW26kuBS5W6S1Yl/J0FlI4+6uu2+OVIPjEtGzPRc3UDjibrqJVj:OS1Y2plPReKNJVj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f343e5ac1c1bb243 |
|
VISUAL
aHash
|
0000000080ffffff |
|
VISUAL
dHash
|
26c4c928363e2b2f |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0b000038002 |
|
VISUAL
cropResistant
|
363618232b232f3c,c836c4c8c9c92220 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.