Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183734322D353190290BBC5D8B073478D2291868DC7534B79A7BD63BAF9CFDB63612398 |
|
CONTENT
ssdeep
|
1536:gkUnGDTJK0e3eAm1yzEf0Q57rl4pTMLHJeln6eebdeeeUd+qPxzsfHKxueTXlkGa:ZDMc57rl4pXbqpzcqm4Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f26d2c6097979287 |
|
VISUAL
aHash
|
00c1e57e7eff7e7e |
|
VISUAL
dHash
|
06878dcdcc9dcddc |
|
VISUAL
wHash
|
0041647e3cfd7c7c |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
06878dcdcc9dcddc,8850e5cc3451c3c5,6175d5353326648b |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.