Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142B1ECA75058183E243355DCE02533AA64A2B31EDBA2190CE3ECD37743EDD63B967C05 |
|
CONTENT
ssdeep
|
96:Tu41tUbOw7N4w6+ePSIRsmRZ4owNaXdTh+hvb5uST:K41tUbB7OxTLjwNaXdTh+hDT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc69b389330c63b |
|
VISUAL
aHash
|
fff3f3f3f3f3c3ff |
|
VISUAL
dHash
|
2666064666a69606 |
|
VISUAL
wHash
|
fff1f1f1f1d10000 |
|
VISUAL
colorHash
|
06006000040 |
|
VISUAL
cropResistant
|
2666064666a69606,c080f0c7cbd2808e,2424242664046548 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.