Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13903A33591016A3B019382D5A339A74EB3D28289DBA30B4473FCC36D6FCAD66DC395D9 |
|
CONTENT
ssdeep
|
768:l4aZ1vB3R0AV8xls8TpISjPTMpuGpH+K0PAz6:l4cB3R7VG2gpISjPTMpuxAz6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e712e510659a54ef |
|
VISUAL
aHash
|
000000000000fff3 |
|
VISUAL
dHash
|
4c4d4743c67c0b03 |
|
VISUAL
wHash
|
06e3f0212302fffb |
|
VISUAL
colorHash
|
13401000180 |
|
VISUAL
cropResistant
|
0a000b0b0303820b,8c4c454743c3c67c,0000041a32b232cc,0010081032b232cc |
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 329 techniques to evade detection by security scanners and make reverse engineering more difficult.