Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1929294306886BD3B62A303D1D792A36BF6D48344D11B9A56C6FC8B6F1BD3D81DF22205 |
|
CONTENT
ssdeep
|
384:zRhQCKvFLLejx56aDXZcatk7nEmMxbg9em7ku:8CWLLej/X2xnE1bGrku |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d14c44737c5c59e6 |
|
VISUAL
aHash
|
00ffffffe7c7ff00 |
|
VISUAL
dHash
|
86c8f0324c5ecc32 |
|
VISUAL
wHash
|
007f7f1f03036f00 |
|
VISUAL
colorHash
|
00030000000 |
|
VISUAL
cropResistant
|
c8f0b2124c5bccf0,aaaa95b6da294a5e,a689c8d6a6a61940,c5c9cd4fcefcf445,4c32b24c30b2300c |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.