Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A0374766044DA3F12C782D677B56B6EF3C6E285CA671A1963F8831C07C6EE0CD325A1 |
|
CONTENT
ssdeep
|
384:abVtYlL/XShhO+ISoKlJcKulgNnMkyWB7st001S5427DpnHPn2IU8N/nqSq:abVtY/+I6RAdktRstp1jg1v2PtSq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bec9c13e463f49c0 |
|
VISUAL
aHash
|
ffffef87878787ff |
|
VISUAL
dHash
|
63303b2d2d2d2f50 |
|
VISUAL
wHash
|
20ffcf8787878780 |
|
VISUAL
colorHash
|
07000002400 |
|
VISUAL
cropResistant
|
7b303b2d2d2d2f50,ecd2b24e8a5353b0,0010026869695006,f3e39cd8b1336172 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.