Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FE113E1C044DC3B135385E9B7F5275F7696C349DB020E8853F853EA5BDAC60CA23A99 |
|
CONTENT
ssdeep
|
96:Tkf8d79oh4lzH030eGnVsWDyEBqwvFWeRXIHF0ePJXb5z/rVsnVQPJ:Qfs79oh4lzH03sndyE7CxfzDKVQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c34363b8bc3cbc |
|
VISUAL
aHash
|
0020ffffff000000 |
|
VISUAL
dHash
|
dccd260008400800 |
|
VISUAL
wHash
|
207fffffff000000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a94bda884e4e,0020303030280810,4434cbd4d1c9c4d3,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.