Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114F1BD306096ED2B81D781F1B276576F72D0C742DE971B1292F993DC8FEAC84CC1686A |
|
CONTENT
ssdeep
|
96:yg26X1oiM4VruIPhbkBvQwpeoWC5ErOlZ9EGEnE+CEyyWP4hhnBfJXuhrlmprt:ZpRuWbw0C5ErOl8SUHXuxl+t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99624ece3366cc33 |
|
VISUAL
aHash
|
00081818181c1818 |
|
VISUAL
dHash
|
a2b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
585a5e1e1e3c3c3c |
|
VISUAL
colorHash
|
000030000c0 |
|
VISUAL
cropResistant
|
eab04b07557d9a1e,a2b2b2b2b2b2b2b2 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.