Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF345561F211D8B945E7C7C0D5F43E0A6190E682DB2E42DB71F4C22C2BDBDC9DE92A58 |
|
CONTENT
ssdeep
|
6144:XyEHgqR9+vzVurC57QT7epF/frRZYLkpi/Tdh6kfT8+rofvFaIEflazrofvFaIEy:d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
964b2e2c69b1b696 |
|
VISUAL
aHash
|
00147e7c76060606 |
|
VISUAL
dHash
|
73ecccd0c4040404 |
|
VISUAL
wHash
|
00147e7e7e066747 |
|
VISUAL
colorHash
|
1e000038000 |
|
VISUAL
cropResistant
|
73ecccd0c4040404 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)