Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9F31A7463409BBF80C7D3D89B71066632E982CAC233479DF6F88785D79ACD8CC6A495 |
|
CONTENT
ssdeep
|
1536:3CLJCS044j5VUCrwqqkx2JBnKZ7YGNDsvuLHat1JntzwElRwX81HUxYjC1SY8VUT:SLrRCDSUhvs+7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c47b8e730679067 |
|
VISUAL
aHash
|
0000000000ffffdf |
|
VISUAL
dHash
|
94736131f13437b2 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07000000e40 |
|
VISUAL
cropResistant
|
00443834363316b6,9404336161313368,7040153531317291 |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.