Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CA1A6040114B625759584A0BD71DBEF7349934AA35703EA38F9D2BD69CFC268C39289 |
|
CONTENT
ssdeep
|
96:TJKUopFheCkZkGJ1sMM9q5YvbZYVu+Q3jAuyJsfMv19DeoRmJQnDVSD9:FKppFhetZBJ12q5sdYVu+juyr3RVD69 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d966669931ce9964 |
|
VISUAL
aHash
|
00003c3c3c3c1800 |
|
VISUAL
dHash
|
0004307030706000 |
|
VISUAL
wHash
|
e0e0fcfcbcbc3c00 |
|
VISUAL
colorHash
|
01002e00000 |
|
VISUAL
cropResistant
|
0000000000000000,96f6a2aae8882321,0004307030706000 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.