Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AD296327110263B5297C3C5BB61F71EE2E25289DB89090563FC875D4BD7F90DE2782A |
|
CONTENT
ssdeep
|
768:UeFy5NX8AiTvph79oxX0H2a4r87sOy2+y9BH4c1Ie:zAirph5zH2K7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d438b939c5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9ccdc3cbcd4c8300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,dccdc3c3cbcd2c14 |
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.