Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3D27632A100263B6257D3DAB311F71DD2A2934DEF5A0C1592F8D35E8BE7E60CE23566 |
|
CONTENT
ssdeep
|
768:ie/y5NKspXZSh8g3j83NnKzVMhd0krOgOMtw70qFAGapLUDKFSz69h7sOy2+y9Bb:7GXZSh8g3j83NnKzVMhd0krOgOMtw70B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c366fc389968c786 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cccc2ccccc300 |
|
VISUAL
wHash
|
00f6f6602400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6d2ccccc3 |
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.