Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7A2445221085695C2F34CD998102A45B183E74FC87187B0D2BC0E7B5BE2AA5B7ADF7E |
|
CONTENT
ssdeep
|
384:27lJBUGyP9bqI0koXnklrgAAge14yahycx:T0Hc+ascx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad42813952e5ef |
|
VISUAL
aHash
|
7fffff8fcffcfcfc |
|
VISUAL
dHash
|
dca7273818010909 |
|
VISUAL
wHash
|
0081818f8ffcfcfc |
|
VISUAL
colorHash
|
07000007000 |
|
VISUAL
cropResistant
|
dca7273818010909,08100c4c4c0c1000,2929576d373a5555 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.