Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15473967611066A3F218382E19328D75DD3C6DA0DC7B78A4AD7EC839B23C6DA0DE35274 |
|
CONTENT
ssdeep
|
1536:Q3gyKt6DcIvc09XIDeZ3l5o0CkkSbKzB0dxVuz81l:ej9COl5PCkk+KaJl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506c3e96d6b665 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93ccd0ccec23ce |
|
VISUAL
wHash
|
00003c7e7eff81f3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc33671c,84ebd193ccc8d4d4,4561417971690141,d325252cd0cd2d2c,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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)