Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5234B726731B9A883DB51EEE7382D59B2C5589DF8CB4410F6C996CE13C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aUYy8+EsZ/8lDVRnMQBURXMQBNDrpRXPZlQaQD9OehM+BrUgq4z:aUYy92RQRxDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be6b3b6b6e908094 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
71712027252b3d35 |
|
VISUAL
wHash
|
00009f83ffc3c79f |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
71712027252b3d35,0cb2b228320c32b2 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)