Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAD2B831E0103B3F025BD3CDBB61F36EA2D39249DA96290552FD835E4BD7E90D96381A |
|
CONTENT
ssdeep
|
768:GSky5NNCwNNZwWGntEfaqI297sOy2+y9BH4crIe:X8WMSzf7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342fc38b929d6c6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98ccc4dacc6c8300 |
|
VISUAL
wHash
|
00fc74700e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,9cc8c4c0cacc2c08 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.