Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1792363737188659F8323D7CC3C10B35EA217814BCA9A6D0776E98F597E869A1FD040AF |
|
CONTENT
ssdeep
|
1536:hUhpiaH5Nao+kbAr6nnVFlU2Um/KV43BLXL7LV7Lp:eiSunm/KV43hLNh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca9924a699b39e99 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
1de8e9697969e880 |
|
VISUAL
wHash
|
ff007c7c7c3c60e0 |
|
VISUAL
colorHash
|
33000000006 |
|
VISUAL
cropResistant
|
96d7677d5b774949,1de8e9697969e880 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.