Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0126223E600DD2A4D97968CF5C09688412DC346FB3148C7B16490FF7BC4DF1A9A979E |
|
CONTENT
ssdeep
|
192:od0h/4K1F4qYxd0MxxmMcnthWeNWbTfMmUU8VCoQC:M0hTsFfMmUFCoQC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8101abbb196f6f0b |
|
VISUAL
aHash
|
007e66767effffff |
|
VISUAL
dHash
|
daccccccd00e0080 |
|
VISUAL
wHash
|
002424240cffffff |
|
VISUAL
colorHash
|
06243000000 |
|
VISUAL
cropResistant
|
daccccccd00e0080,2bbb2fbb33abb32b,6b33e3bbd343031d,a49218065751d6d6,6e381adbca200200 |
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.