Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FC2C931A1107A3B41D7C2D9B371A32FA2A3824AE757051592FD83AE4FE7D94CD23526 |
|
CONTENT
ssdeep
|
384:bSby5NnhoaBnIPXbIGo1kaa1JkXHEpcb3xiBIYsOy2+y9BH4ciUIe:bSby5NnlB2yCJsEom7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926cfc12ed3c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9ccccce8c8dc3c00 |
|
VISUAL
wHash
|
00fee200600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,9cccccd8e8c9dc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)