Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123448421ADF5272F915F8785F6619954FFCA498CE8286EC046AD96CC1BC2CD26FF3018 |
|
CONTENT
ssdeep
|
1536:Xp5eDmi9x2zs5OOCe5QYswPCeeAwgefltR51eeARVebbZeeAXeMH/eeAVelQedgS:wc2fOKkmJW5BHjI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed12366d9396461b |
|
VISUAL
aHash
|
000000fffbc3c3ff |
|
VISUAL
dHash
|
d4c3e8e133232727 |
|
VISUAL
wHash
|
000000fffbd3c3ff |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
e8213b3323073f07,d4cce3c4c8c7f8e9,3049b2b569d00500,a363636369694d49 |
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 28391 techniques to evade detection by security scanners and make reverse engineering more difficult.