Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3429533F600DD2A4D9B9588F2C4968C525ED346FB3248C67164A1BF7BC4DF029A93AD |
|
CONTENT
ssdeep
|
192:XaYYcJc8ch2nfcnmuex90DAU1McnthWeNWbiOdofMmUU8VCojQ3:XafcJc8ch2nfkKiAUvOdofMmUFCojQ3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2754c767708dd22 |
|
VISUAL
aHash
|
00ffffefe7ff0001 |
|
VISUAL
dHash
|
a2ce184d4d004949 |
|
VISUAL
wHash
|
00e7efe7e7ef0000 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
8c0c004d4d004949,2020a0a0408010ca,00002c32b2340800,0121516c6c4c1200 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.