Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B00212726504AEB70183E3E6E771E76F3686D349CA931682A2F9974D0FC7C9ACC51214 |
|
CONTENT
ssdeep
|
96:+g+m+mz7Pz7CvHzxhnuj1QxBO4vRlXvC+BvlP2pRJoTB07t4IyJxyQP3m2:ZdTGPjnu34vRlGRJoT7xv7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464656565c79a9a |
|
VISUAL
aHash
|
c3c3ffffc3ffffff |
|
VISUAL
dHash
|
8696416902280000 |
|
VISUAL
wHash
|
c3c3ffbd00000000 |
|
VISUAL
colorHash
|
02e00000000 |
|
VISUAL
cropResistant
|
8696416902280000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.