Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19742622065649E3751EBA5DDF3A25E1AA1F8C305DA034248E5A9C3FA07E2C6CCF37560 |
|
CONTENT
ssdeep
|
192:GLy5bgbs/AYh7vjizMJUylbpJc8KjuoGuEosFDsKb:GLy5bCCAYhs+HbIhjtE3Dfb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3d151515397949 |
|
VISUAL
aHash
|
00ff83ffffffffff |
|
VISUAL
dHash
|
2624333b00000000 |
|
VISUAL
wHash
|
00818080f0f0f0f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
27233b1000000000,0001060606060601 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.