Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195A351721242141FD71785C9F64A3B9AA18AE31ACA020885FFE543779FEBD36BD3C158 |
|
CONTENT
ssdeep
|
1536:YYa00U+/Ya00UpKwy/lSffIv0NrlrpFBWF:/5+A5qYYMrlrpr4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e69ee08bf9a1b0 |
|
VISUAL
aHash
|
ff2020200040de3f |
|
VISUAL
dHash
|
69c4d4d0d084b0f2 |
|
VISUAL
wHash
|
ff702a286060de3f |
|
VISUAL
colorHash
|
000060000c0 |
|
VISUAL
cropResistant
|
0004432b234000e9,ecc4d0d1d484b8f2 |
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 187 techniques to evade detection by security scanners and make reverse engineering more difficult.