Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158A3DD234119392B4837C3C130695B3BD1E69A9FFAE70E404EECCBF66AF9C90745A159 |
|
CONTENT
ssdeep
|
768:bzFsd9ltpR4nXF6YjOpSpFlTC6rrW3Zd+W3vFsCm85YzYQkP/4:nItpR4nXBKpSpFl26v0d+IvKCm85YzY0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9348ec3faa9097b2 |
|
VISUAL
aHash
|
ff000e0e0e0ebeff |
|
VISUAL
dHash
|
23d8dc5858585803 |
|
VISUAL
wHash
|
ff000e0e0e0e2eff |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
23d8dc5858585803,0142411100006606,81630d0923074705,7d7f7f67735f6e1d |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.