Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179329453010C1979D372608E58993544A297E1CFCC859AB0E2A81E7E37FBF6791827BF |
|
CONTENT
ssdeep
|
192:4weOTOiHjbjIjo6uEzkkJuEzkkgPPouEzkkgtP2Z/ujwjEX8PIrFubjwhXeBW:zOi5eyeuP1eu12djn4vgW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcac46d39193d2d2 |
|
VISUAL
aHash
|
ff818381ffff0000 |
|
VISUAL
dHash
|
07232b333bc40300 |
|
VISUAL
wHash
|
ff838381ffff0000 |
|
VISUAL
colorHash
|
30000000e00 |
|
VISUAL
cropResistant
|
0f23232b333b1bc0,4773659565593539,0000000000000000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.