Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B392A971B00C1833626B05C6F250B32EB5A787599E03689076F78FAA1FFEEE0F446595 |
|
CONTENT
ssdeep
|
192:E/lZXvJ3DW8olpfUFGOZAcyfkxvfkEL3uPxLL2I2G2Me20vsZbNbb50csSQDGYFg:E/r1WXgZDu01vGRthd0LStYTsZ8u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3be499cc3b606c8 |
|
VISUAL
aHash
|
ffc3e7e7e7c34200 |
|
VISUAL
dHash
|
160f0c0c4d0e96d1 |
|
VISUAL
wHash
|
ffc3e7e7e7008100 |
|
VISUAL
colorHash
|
070010000d0 |
|
VISUAL
cropResistant
|
160f0c0c4d0e96d1 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.