Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAE1FEF0D044ED3B435386D9A7BA6B0BB791C34ACF03194497F883AB5BCAC60CB15699 |
|
CONTENT
ssdeep
|
96:Tk7utnbzD71tDlt8v67MzdtGytkIswvFoeZXlHF9ieNX5X/nYfh2J:QWnbzD715lt8iIJtGy91XxHXPchw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34c8c33b34ccc |
|
VISUAL
aHash
|
ffffffefffffff00 |
|
VISUAL
dHash
|
0808080a08340000 |
|
VISUAL
wHash
|
2820242400000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
080808080a000000,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)