Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4D2E738E352123F152B4AF6F1A3675DA1EBC78ADB5B8948F3ACC29223C6C50DF55241 |
|
CONTENT
ssdeep
|
768:bGe/qi4Aqbcj2G/L2t1j2pWT2fmwpo5GcuAt/JUDtI0/+aaaD:iBbak3lwHx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c81cbf6284ffaa90 |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
4d3039b0d4494308 |
|
VISUAL
wHash
|
ff00001050f1ffff |
|
VISUAL
colorHash
|
02400000180 |
|
VISUAL
cropResistant
|
084c04404b4d4014,4913d2c1080c636b,30303931d494c94b |
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.