Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAF16117D32E83380F0301F6BA04A3AF92AE718D73934CD1B9C2D53562956D58237EEA |
|
CONTENT
ssdeep
|
192:Rn/PGwZkgtYQhn3lHFsG88Eq9R0DbUcBSHjIuiON1r:5nGwZkgtYQh1HFl88Eq9mDbUcBKDr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a425fcdb3528c3d8 |
|
VISUAL
aHash
|
030303039fffdfdf |
|
VISUAL
dHash
|
b6b696b636703634 |
|
VISUAL
wHash
|
0303030307bfdfdf |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
b6b696b636703634,7a929289cd9280d8,9e88bac9c8dc9bbc,c39c27e364e89ca4 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)