Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC332AE93851B1125BA350D360AF2A5BB33E243F680C54B0B150DEE970F84AA517BFDE |
|
CONTENT
ssdeep
|
1536:qFMZym4wnRvGmDtC8ryeWWn+5Tsf67mvyOloQzZs8oWQbp:P9ds8oWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97555454411f7c7a |
|
VISUAL
aHash
|
00fe1f3fffbfbfff |
|
VISUAL
dHash
|
a860777670647424 |
|
VISUAL
wHash
|
003e07079f1f16f7 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
8c70767490647464,0000606171691c20,45453bc8c4e45945 |
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 470 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)