Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5B32D746258653D567383C7D0DD372632BE131BE90E0C20B618ED7962AAC9AB437ECD |
|
CONTENT
ssdeep
|
3072:TlGikh2SLtJy7Fgikh2SIZDuilkTcg2rrtZ:oikh2SLtJy7Fgikh2SbiiZgrtZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4c33b1bc4c43b3b |
|
VISUAL
aHash
|
4000087e7e1c0000 |
|
VISUAL
dHash
|
d0d0d8e4f4b070b2 |
|
VISUAL
wHash
|
780c7e7e7e7e1800 |
|
VISUAL
colorHash
|
38401030000 |
|
VISUAL
cropResistant
|
4d6d3deadad5ddab,d0d0d8e4f4b070b2 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.