Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11932627145D51A3707B28384ABA0FB1EE282C60ACD638646F3F6C74D9FC6E96CD12359 |
|
CONTENT
ssdeep
|
96:N+vhghk0tbuqubznbsYYd8+DSeHmTesXea5HgJtaivh0PIY0Q4gmODG5sRhvrx9d:wZghLtbu0Va+zZZ4iGPIsWAgK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb7e1e1c2da58511 |
|
VISUAL
aHash
|
0000e7e3ffffff00 |
|
VISUAL
dHash
|
32298f0e0f181012 |
|
VISUAL
wHash
|
0000e7e3e3ffff00 |
|
VISUAL
colorHash
|
07600010040 |
|
VISUAL
cropResistant
|
32298f0f0f181812,893052523252322c |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.