Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134C37620E140267E0E9383A0B3BF6BB71168C349CF5748F9B3D882265FCAE595B47795 |
|
CONTENT
ssdeep
|
1536:t6agDxoGcr6qsJDOiBn9bSue/qO0qkaeA:EagxoGcgO0qk2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a52dda3ba538a5c4 |
|
VISUAL
aHash
|
0000370707070eff |
|
VISUAL
dHash
|
3bf3d6d6c6de3826 |
|
VISUAL
wHash
|
01007f07070f9fff |
|
VISUAL
colorHash
|
1bc00000000 |
|
VISUAL
cropResistant
|
0102d52f2bc4018e,4490262d29b04180,8a82aca6aea83333,3601040000883646,3b7bc6d6e6c6de38 |
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 432 techniques to evade detection by security scanners and make reverse engineering more difficult.