Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17BB2F933A22C1D23426342D6B1D373C7A66E889EEF05CD50FFAC42A9B3C6C951672765 |
|
CONTENT
ssdeep
|
768:WiW26kuVS5WtB7kJ/J0F3ZKZBZMtyqw3B:Gv0BZ31B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad435392366c695b |
|
VISUAL
aHash
|
00000000dfffffff |
|
VISUAL
dHash
|
bddbc367391a3333 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03c00018000 |
|
VISUAL
cropResistant
|
fddbc366191e3323,000094942100aaff,d172814430595337 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.