Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15873657C1382AD3F108381D54318E799E386EE06D7A3995AA7FCC32B768ADA4DC35174 |
|
CONTENT
ssdeep
|
1536:Mvhc9dkjcC9t0lZI/Jh40QHzQP0N5x5+K8Vx:/4ZeNK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e842869c166eb6f6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e4d38b339236271c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03010000e00 |
|
VISUAL
cropResistant
|
21da98dadbda989a,38789d9c8c8c8d8f,8282a2969e86b282,841a38272720161e,84ebe3d38b2b1393 |
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.