Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D1393319690AE3B0183C3C1E7B5734FA2998342CB63578563FA878D6FD7CA6CD22156 |
|
CONTENT
ssdeep
|
768:LC8lkIPT2Xy0IlrCRpS44a44a44fF091l1JIb:4Ib2s2Y44a44a449+1lzIb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98a6c8c0b7d9e5e1 |
|
VISUAL
aHash
|
ff140e0e0618581e |
|
VISUAL
dHash
|
e8adbc3cecb0b278 |
|
VISUAL
wHash
|
ff141e0e061c587f |
|
VISUAL
colorHash
|
1ec00000000 |
|
VISUAL
cropResistant
|
cccc21a9ed6dadb8,b4918087c2868686,b0b2b29272b0b9b0,a080c05315c08280,6dadbc3cecb0b270 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.