Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E236E70A112AA370297C3D4A675AB2F73D0C38DDA134B4463F8876DAFDBD92DD26814 |
|
CONTENT
ssdeep
|
768:2K/pvXkStV/uo/z5DV13q9FA+2GWS1yvMS3Hhuu7WwPAgGMH+K0Pm:2yvXZtECX13qEGW8LS3Hhuu7WwPAg+m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b847b04699bb47b8 |
|
VISUAL
aHash
|
040000000000ffdf |
|
VISUAL
dHash
|
cc0c686876669796 |
|
VISUAL
wHash
|
ff001c0000b6ffff |
|
VISUAL
colorHash
|
1b006000000 |
|
VISUAL
cropResistant
|
0000000000000000,6a0c979797969692,d48c686868707666,40404040641b5864 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.