Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13702FCE2D040ED3B475286D5F7B96B4B7792C385CE17054193F883AFABCACA0CB111A9 |
|
CONTENT
ssdeep
|
192:Q0nPDJ1nt8iIGwwoqq1g+5XXyrkqOLEq9:QSND1Zwbq8g+V8bIEq9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6cc3939a87c790 |
|
VISUAL
aHash
|
ffc3d393dff7ffff |
|
VISUAL
dHash
|
0226263638060000 |
|
VISUAL
wHash
|
f9c3c3c30c003c3c |
|
VISUAL
colorHash
|
07201c00000 |
|
VISUAL
cropResistant
|
0226263638060000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.