Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101737775556B6227063788C36CBA071A63F7823DED773815A3FC83A95BCEC94FA06805 |
|
CONTENT
ssdeep
|
1536:UFtyeUoJ5uOmVLFueVPBen8OeFU7eqFSeA88eitDeMwXeSaeebvaea1Wk41sheSV:uv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b366663389cccc99 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4d |
|
VISUAL
wHash
|
0000000000000000 |
|
VISUAL
colorHash
|
07008000e40 |
|
VISUAL
cropResistant
|
0202020202020202,a0a0a0a0a0a0a0a0,ca4a8c4acc8e4a8c,4c6eb3696d69b2ea |
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 15852 techniques to evade detection by security scanners and make reverse engineering more difficult.