Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C313EE30A404ED3701DBAAD56672526A62F58344CA230289FAF4C3EE4FEFD6DCA73111 |
|
CONTENT
ssdeep
|
768:VAsIx/jVAXzv2LYGzkYg0gUgKpQtPtRU1rdPOkUf79F:VAsIxoTGzkLtPnUFNOr79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d50af73634bc1496 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
dce8f0b210480c8c |
|
VISUAL
wHash
|
06003c1800ffffff |
|
VISUAL
colorHash
|
3a000038040 |
|
VISUAL
cropResistant
|
00000c4c008e82c0,ccca68f0b2b04cd4 |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.