Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC918622B21071230597A6A276A2636FA350C200EA1317B9F7FED35C9BDBD5DDC31547 |
|
CONTENT
ssdeep
|
96:ToS7/vGTWwJcm5VM2ot0XIgyH/vmsxXXgo:FTmJzmrXXgo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e1ab3316d6ccd31 |
|
VISUAL
aHash
|
003d3d3f033f3f3f |
|
VISUAL
dHash
|
fd79e1e1dfe1edf2 |
|
VISUAL
wHash
|
003c193d033f3f3f |
|
VISUAL
colorHash
|
10000e00000 |
|
VISUAL
cropResistant
|
ffffd95456fffffe,fd79e1e1dfe1edf2 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.