Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7A2111231085A96C2F34CD898107A447292EB0FC8315670D6FC4E7A5BE2AA5B79DF7F |
|
CONTENT
ssdeep
|
384:TpnHEGvoeEeyeL6R8S/xbZV+/7bY6orMU9UNoGZlQk9AhDA093f148:JSA0oQe05p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5d22d52f2255aad |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
cc8c160e08321606 |
|
VISUAL
wHash
|
47ffe7e7ff000000 |
|
VISUAL
colorHash
|
17007000000 |
|
VISUAL
cropResistant
|
8cc00c0c120c0c30,4454a0b0948caaaa,0032160606061606 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.