Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18641423024289E27425B84DDB1BA6B0A21C5C149CB9B17046BFCA7FE1BD7D22E91A2C5 |
|
CONTENT
ssdeep
|
48:T7YAWMJmc3YyeJLVNI6E+6kznjZyhLlmlwkP:TCc3Y5JLLgRKjWlmlT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9819677c9933666c |
|
VISUAL
aHash
|
0000183c3c100000 |
|
VISUAL
dHash
|
b08cb3b1b1300e06 |
|
VISUAL
wHash
|
000f193f3f9fef00 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
a29e1cc2cae88292,b08cb3b1b1300e06 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.