Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E7384302440D93B01DB92D59676937A73E4834ADB430A88F6F4C7AD5FDBDA8CE27065 |
|
CONTENT
ssdeep
|
1536:z5vsIxn4CCp0S5+eeL+8Kf8fB7vWQAQlV:dvaC97O70 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a456666459a9abd |
|
VISUAL
aHash
|
00011f3f1f1f0f00 |
|
VISUAL
dHash
|
c4dbf9d8f2fdbdc9 |
|
VISUAL
wHash
|
000f1f7f3f1f1f00 |
|
VISUAL
colorHash
|
12007000000 |
|
VISUAL
cropResistant
|
f5e5cbccc8f1f3f3,78d891216c0c90c3,3a37172e3e7e9ede,c4dbf9d8f2fdbdc9 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.