Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177527433A500CD2D4EAB55CCF2C49A89525ED345FB3248CAB1A491BF7BC8DF168A539C |
|
CONTENT
ssdeep
|
384:GcEcschVD+AP2ZyN4bmVzL1pofMmUFCow4:GcEcschVD+lfBUsp4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030cecd3133cf39 |
|
VISUAL
aHash
|
c7c787c7cfffffff |
|
VISUAL
dHash
|
9a9c1a1a18401800 |
|
VISUAL
wHash
|
07070707070ffdfc |
|
VISUAL
colorHash
|
06000200030 |
|
VISUAL
cropResistant
|
9a9c1a1a18401800,9a82f23a3baaa28e,ffff69baea49befe |
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.