Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16414C7A3735022794E3B42D92598375EA322F20DD6631CC5FADE4274EBDAEF1B520349 |
|
CONTENT
ssdeep
|
6144:AtIOwc1Oha8Wx4V5vRL1yiHSV+Vb41hiV/QY3/3NvQ:4IOwc1Oha8Wx4V5vRL1yiHSV+Vb41him |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe8187604af09b8f |
|
VISUAL
aHash
|
70ffff808080a090 |
|
VISUAL
dHash
|
d1ca081525072626 |
|
VISUAL
wHash
|
fdffff88c080a090 |
|
VISUAL
colorHash
|
06602000000 |
|
VISUAL
cropResistant
|
0000015141810001,8d08111523046626,00102cd2c22c8000,91913172262d8792,69494be45f5e5e1e,451a903139735fb9,c0647cddc3635995,963f3c57e7f71b71,0f07171fb3636129,d3a5689113161f1b,cc86972262aa2c66 |
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 116 techniques to evade detection by security scanners and make reverse engineering more difficult.