Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5136F3660449E7E12C382C277B56B5EF2D6D24ADB436A5E63F8831D07D6EC0CD39862 |
|
CONTENT
ssdeep
|
384:AkG0Oi8/L/0guO+ISoc23GzalWarlS37H/RC5w5FlWhsd58XCGFq5WC8LFT/kquq:a0OioZ+IVFlrcT/RsGwq578RXuq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b23ccd4d361e3c43 |
|
VISUAL
aHash
|
00ff878787c7ffff |
|
VISUAL
dHash
|
231b2c2c2c3cc8aa |
|
VISUAL
wHash
|
00cf87878703feda |
|
VISUAL
colorHash
|
07202030000 |
|
VISUAL
cropResistant
|
231b2c2c2c3cc8aa,0008046870702004,f0f5bcb9a36958e6 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.