Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCD2227300C699FB00E3A7D05271172AA29273A2FE6B434797F44B4E5E97F65CC26836 |
|
CONTENT
ssdeep
|
192:BDwccE1+GABXELib+brmVvqq7tqW5BMB8x6PacLlOojQoURd834lkdoeFN:RwlEcNBXELiy/Y+nPacLQ834E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d09d393c783d95c1 |
|
VISUAL
aHash
|
003c7e007c3c347c |
|
VISUAL
dHash
|
31f0d490c4d4c8d4 |
|
VISUAL
wHash
|
00007e3c7c7e7c7e |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
00001d1de2a20080,31f0d490c4d4c8d4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.