Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13363957642C66E3F248346D08758D32BD3C2D28DC7679B4ADBE8436B62C6EE0ED35164 |
|
CONTENT
ssdeep
|
1536:JetD08GPWYKJQDcU1t0956OWiemMixcRbn7hG0iY/ichaTS9obzoDwVX01/Bwx8N:JeG8yk956rmzcpn7hNiY/fhaiobMDwVy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e841a0bc376eb693 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86d38b131c37270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
915456ba922b2b46,38789d9c8c8c8d8f,2b29dd35373e9616,82a28a969696a882,c53a382327400f0c,9687b3d3832b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)