Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1137870A020DA3F01C7D2D5A2396B5A72E1C38DC7230949B7F9935D6BD7DA0CE625B8 |
|
CONTENT
ssdeep
|
768:2METiY07bjz91FcHoe3O7JdeVz4BddJJSJ6pQGkeIX2MROUAZ4yARdyqHPyK52Rf:mTiY07bjz91FcIe3O7JdeVz4BddJJSJm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd1265b2f90a36ae |
|
VISUAL
aHash
|
00000018fffffffb |
|
VISUAL
dHash
|
29f0f4f033442312 |
|
VISUAL
wHash
|
00000018fffffbfb |
|
VISUAL
colorHash
|
0f0060000c0 |
|
VISUAL
cropResistant
|
f033228063232752,2d96928b94949891,2992968992929480,2df3f8f0b4f4f033,36ebefb63e7a390d |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.