Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17372C732A104773B024390E2EB71AB8A7355814AE7830F5662F8C37DEAD9C6ACC751E5 |
|
CONTENT
ssdeep
|
192:kDbD4kebu5uKrsihtBbKrIwpe4D4UZoHVRc6C6QUq+uskTWqUxdAOvglJDvzWTKw:Ycbu5u4nzGrhPT6C2q+bdb4e7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bccf083863efa690 |
|
VISUAL
aHash
|
c1feffa2828383c3 |
|
VISUAL
dHash
|
233266461e361e1e |
|
VISUAL
wHash
|
c1beffa283838383 |
|
VISUAL
colorHash
|
03002088000 |
|
VISUAL
cropResistant
|
233266461e361e1e,b27266de8b8d0d0d,c4e6f8d8f8f8ea78,363737329295dddf,7c1ec3721c84c5f6,c7464f0f030b0307,ce8c342c7e7e3e3e,43870707070f1f1d |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.