Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1B17878609049AB21C792BA76E1ED1A6DCEC703D763FF49A6E9E3552BEFC40CC41250 |
|
CONTENT
ssdeep
|
96:T5uwLK2Ime6kadfH+7HnX5RxfHEDWnX5RBk+gs2qfrRgCWgmKuiEf54fncgDSZK:7K2ReXgGHPtkWPBkUdfFgCR/kD0/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eec3c31cc5871ec1 |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
6424252424252424 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
03000000e00 |
|
VISUAL
cropResistant
|
10000c1c32960000,0101043938044040 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)