Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15854CD234259392A0037C2E520A95B3BD1A6DD4BFAE709414EDCD7F727FACA0742B25D |
|
CONTENT
ssdeep
|
1536:w3uOTkchv49tMbXlOJi55R+Ovb0JGlV0A2OS+H8ArXvUd0gAK6Fyg0MkmOVKqfpd:a0Mw9JK4OS09kNMkmoK6GI1Dt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506c3e96d6b665 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93ccd0ccec23cc |
|
VISUAL
wHash
|
00003c7e7eff81f3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc332718,84e9d193ccc8d4d4,4561417971690141,4935252cd0cd2d2c,82454d7171454500 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)