Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E43E876D368027F1A6303946A052367B62BC58ECB1517A2E1BCC15923EEF7518F1BCB |
|
CONTENT
ssdeep
|
768:7xrviGASfse10kgYk0ZCgMsDolAqHroeNF6F/E+f0idzMsgMHUrqQeW:7cGf1HgYk0NFcbj+VdzJUrqQeW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e963535343595347 |
|
VISUAL
aHash
|
00c3c3c3c3dfffff |
|
VISUAL
dHash
|
d60f0b130f331734 |
|
VISUAL
wHash
|
00c3c3c3c3c3c3ff |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
0f0b130f2f33173e,d0d0d2ccccd2d020,133321ad89362e4f,414539ccd4714d01,30b232b23232320c |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.