Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D23810CE375FB3A08FEB8D632521F37E2985331D3AA9577E2E8B3868685C705855351 |
|
CONTENT
ssdeep
|
384:RxwMwFmVBnzxG74Y05h7/KpQs9RVBHk6I/KLPW/ASyp1leilNGQIFvRiHpIsUnMW:R6nFmVZzSR0OuEnMMBpmDROkA33UB3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0e8370fba69306d |
|
VISUAL
aHash
|
c1ffffff00000004 |
|
VISUAL
dHash
|
13a9918971aa829d |
|
VISUAL
wHash
|
c1ffffff0000004f |
|
VISUAL
colorHash
|
18000000e00 |
|
VISUAL
cropResistant
|
8a728a2622d20282,13a9918971aa829d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.