Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE434B73672178BD82DB41EEFB382E49B6C5945DE8860440F2D9A6ED23C7C917283B74 |
|
CONTENT
ssdeep
|
1536:aK+EsZ/8EeEsDT1eJRxMjBwRcMjBhDrpRXPZlQaQD9OehM+BrUgq4z:a/ZRbR3DrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aad4d4d5d4d4d0d4 |
|
VISUAL
aHash
|
fb01010101010101 |
|
VISUAL
dHash
|
43431b130b0b4b0b |
|
VISUAL
wHash
|
fff1f9c1c1c18181 |
|
VISUAL
colorHash
|
31000008e00 |
|
VISUAL
cropResistant
|
43431b130b0b4b0b,828484808180a485 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.