Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EC34CA03618F67F297343E7A09B3312B278461BD40F4C247364ECEA6759C99A467FC9 |
|
CONTENT
ssdeep
|
1536:yqA3egm3g5xGnTVq53QSoHxh8N6FmbXhjaPnQsR+Fuopc:ffqMTjzmN6UbtZ9S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a302ce5cb95aceca |
|
VISUAL
aHash
|
ff002405030000ff |
|
VISUAL
dHash
|
3bcfcddddffcc00c |
|
VISUAL
wHash
|
ff03270f03003cff |
|
VISUAL
colorHash
|
02002000180 |
|
VISUAL
cropResistant
|
0041692969019eff,d1c9c1c991161174,42b471c149525252,ffffffffffffffff,9ebe9e9eb6fee8fa,00004d004d4d140c,9fcfcddddd3fccc4 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.