Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BB292BB19722DBA3A679BE5F510371EA24B811DEE8106C0FA7DC6CC03C5E6455332DA |
|
CONTENT
ssdeep
|
192:2bgTt+NK5DL/PuMm9qqUUQ3yT4UK+fGLKUUBV3n2BWUU/3aMwuMmq4:egT8q3GMUQORgUBVq/U/u74 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9eab6d74c1561649 |
|
VISUAL
aHash
|
0081bfffff760000 |
|
VISUAL
dHash
|
755169ccccc4f432 |
|
VISUAL
wHash
|
0081ffffff7e0000 |
|
VISUAL
colorHash
|
17200030000 |
|
VISUAL
cropResistant
|
b8adc9aac993b240,34251cb4bcac9e9d,48ea48caca101918,755169ccccc4f432 |
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 984 techniques to evade detection by security scanners and make reverse engineering more difficult.