Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186234B726332B87883DB91DDF7382E46B2D2948DE8C74554B5C95ACD23C3C8162977B4 |
|
CONTENT
ssdeep
|
768:aQ+EsZx8/G8uSRF41DawuMIBewDMIBQUcix+y9dQpUDF1E56ITmHDLBABW8KPqDE:aQ+EsZ/8u0O1DawuMIBewDMIBQUXx+yZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeac917ac01c3bc3 |
|
VISUAL
aHash
|
fdf3b393f100ffff |
|
VISUAL
dHash
|
794767274761ccc4 |
|
VISUAL
wHash
|
81f3b391b1007e7e |
|
VISUAL
colorHash
|
06c01000000 |
|
VISUAL
cropResistant
|
794767274761ccc4,0c000d0c61655757,5e4f9f95319999db,cfe24ccbc7666a6a,85acaf2b4b1e1d0d,0088808e8cb29696 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.