Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16824D6A4D36453FC5C0E43DDEA3678A0360E10FE75D1CEA8966CCEA056939D8DA4DCC6 |
|
CONTENT
ssdeep
|
3072:c+4JoItqg7wa6rfQL9AefD4Lnr3zoe1Kdh:07wKD4Lnr3zoeq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0e449805efcf10f |
|
VISUAL
aHash
|
e262e2c606df0000 |
|
VISUAL
dHash
|
868e060ccc9eb252 |
|
VISUAL
wHash
|
e2e6e7e6e6df0000 |
|
VISUAL
colorHash
|
300110000c0 |
|
VISUAL
cropResistant
|
868e060ccc9eb252 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.