Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF933B703A59F5A35AF343E710DB1206B279552F940E4D20B350ECDE73ACC9AA067F9A |
|
CONTENT
ssdeep
|
1536:lTVq53QlHxh8N6g8XXhjaPnQWT+960uJ+pic:lTj/mN6ZXt1967+ph |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc5513be316ae4d2 |
|
VISUAL
aHash
|
00000000fffffdff |
|
VISUAL
dHash
|
7cd2a1a337276521 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
448acaca6da7e7a7,9e9efadafe9e5f1f,fcb0a8b69692a894,a3c7232767652127,9ef8f282a4a1a3e7 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.