Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CD2EAB32484A4136671C1DC69B2772DA59384DEDA2B48CDE1E4A39F3ED8C96C4C7335 |
|
CONTENT
ssdeep
|
768:hJ33VhXh3lCJy6EVvfhMuuRUh2/IqDU6as1H4Vpx22vUwXNAzwUWAyWwR2vYt4L:hJnJuU3ZnU2vUxzwUWAnwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c64c6ecb1993b33 |
|
VISUAL
aHash
|
fb3018181899bdbd |
|
VISUAL
dHash
|
a26468392b2bab68 |
|
VISUAL
wHash
|
7e3018181818ffff |
|
VISUAL
colorHash
|
06601000000 |
|
VISUAL
cropResistant
|
b131366686a68e8e,a26468392b2bab68,a5050125c5543434,394e4acccc477f71,cd91c9c496a64243 |
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.