Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14461E83250252E3311A24DE5E7C6E71269EE812CCF302C6965FC86AE07CDE28C576BD6 |
|
CONTENT
ssdeep
|
48:YKNg5mbsJDfC1IwJD/TlNhGLExYEv4wkZl8B3PmdgZdNZ5IgTa4VvL75T:Y+ImXB7n4Lm3v4Q62/Tt9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc663333333333 |
|
VISUAL
aHash
|
0018181818000000 |
|
VISUAL
dHash
|
0cb2323210080000 |
|
VISUAL
wHash
|
3f3f1f1f18100000 |
|
VISUAL
colorHash
|
070080001c0 |
|
VISUAL
cropResistant
|
0cb2323210080000 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|