Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18012F6E75218D36D0583C2ACEF72F4A0924E90EFF655DAE499EE4B6840E7DD4F803950 |
|
CONTENT
ssdeep
|
192:avTnsi1bvKTZg4x4iua3jywAcQSyUZxBcFL/W:MLhCZz1f32NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3a24cd631e89ce4 |
|
VISUAL
aHash
|
ffffffefeffcc000 |
|
VISUAL
dHash
|
4c4c08990cc00032 |
|
VISUAL
wHash
|
e7e7e7c7c6e88000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4c4c2c189f1cc000,50a398e8ecae9241,1a0c10e0000132b2 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.