Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8A100A93381325F8223C7A1F1E23A59D3BEE74BC3AB55C0B2A544E85FD2C6D5285D20 |
|
CONTENT
ssdeep
|
96:g0K7lGNGxchk1S6KNBPT01n5RvJRuHRP6p4QW505Pu:grxchuSZ7rSqQi0Bu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d2733270f073735 |
|
VISUAL
aHash
|
00ff43bdffe7ffff |
|
VISUAL
dHash
|
dd20446030040000 |
|
VISUAL
wHash
|
00f1f0fc3c103030 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
48aaae908e33b232,dd20446030040000 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.