Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A43A5719250A97F42E3C1E2D2342F1BB3D0C28ACA2396069BFD935D5BDAC44DD6399C |
|
CONTENT
ssdeep
|
768:qU9r02HK8BFFNVWv+zTk4Q/PpfXOPpfXiphGLCw0ooU8z6/su4:l02HxBFW34Q3121Tx/sJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0de95f084c6b0bd |
|
VISUAL
aHash
|
ff0000704040007f |
|
VISUAL
dHash
|
a6a259a4808996f6 |
|
VISUAL
wHash
|
ff0000f8f8e005ff |
|
VISUAL
colorHash
|
30c00018000 |
|
VISUAL
cropResistant
|
0004208e8e0c3000,a24152a4808996f6 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.