Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA0212E1C440ED3B435282C5FBB5AB4FB691C345CF07098193F882AB9BCADA0CE1619D |
|
CONTENT
ssdeep
|
192:QU1vG48z4SA98iIaRy3YJs3aNsi5zH3FAjUJdx52i:QU1vG7491FRWYJIaNsSFAj0352i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b14e8631ce4eb3 |
|
VISUAL
aHash
|
ffcfcfcbcbffff00 |
|
VISUAL
dHash
|
161e1e161e18000e |
|
VISUAL
wHash
|
c3c3c7c3c3efc300 |
|
VISUAL
colorHash
|
07c01000000 |
|
VISUAL
cropResistant
|
161e1a161e18260e,2733313d253d3b7f,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.