Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1320242E2D064DC36076386D8B7B57B6B7772C384CF02095462F4537AABCEDA0C7214A9 |
|
CONTENT
ssdeep
|
96:TkqgsetUOZOpenzH0LZjYSTPKiEdt7J4JFcMRXzIHFVneXKX/+lSTu1euGAT43a:QqgRth4YnzH0LrWiEdr4S7JXZ6138K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939c6c0303f1ef8 |
|
VISUAL
aHash
|
7f8f8f0f0f3fffff |
|
VISUAL
dHash
|
db1b3a1b9ae878d8 |
|
VISUAL
wHash
|
090d0f070f0f3f3f |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
db1b3a1b9ae878d8,9d8d9d9584e5e787 |
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.