Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A745BF0531411ED16C3FED9A5627D6A7573C4FEE21B484882BC4A886EC1FE9C8C5AE1 |
|
CONTENT
ssdeep
|
3072:y1LWXnEwbOFvprWXnEwbOFlDrWXnEwbOFlDrWXnEwbOFlDrWXnEwbOFld:UW35uvhW35ul/W35ul/W35ul/W35uld |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7d940b313ee44c5 |
|
VISUAL
aHash
|
ffcffa878e870700 |
|
VISUAL
dHash
|
9838e24a5c0d4fcc |
|
VISUAL
wHash
|
ffcbfe878e870000 |
|
VISUAL
colorHash
|
06603008000 |
|
VISUAL
cropResistant
|
9838e24a5c0d4fcc,3a33139679557526,e4063bc425dd26f0,4a937a6e3e3e9e8e,45d2aa05aaaaaac6,434e0c1b3b313960,30688aa4e4a6a934,222335311397990b,5212326210521211 |
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 165 techniques to evade detection by security scanners and make reverse engineering more difficult.