Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D523D9725484762F8793C3A163205D5BF357935CC3BA3A1EA1E6C327AA52DA1CC4F26C |
|
CONTENT
ssdeep
|
768:1w0LQH090YaLHYsr/FVrA68JMRtyWdF8QoC/RflpvunB6wDpdy9nY/BUhNA6ix:nL94L4o/zA68aRtyWdF8QoC/XpvuBTaQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9449eb9496b0ebc9 |
|
VISUAL
aHash
|
ff000016363606ff |
|
VISUAL
dHash
|
71f0d4ececec8c39 |
|
VISUAL
wHash
|
ff0000363e3646ff |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
0001416969d50004,2428787858787878,96c6e8c292170f8c,f8f8b8f8e92c3c68,00000c002d1d2d05,32f0ececece4ac8c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.