Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAF10BF1E040ED3B075385D9A7BAAB1F7691C349CE07068593F883AB5BCADA0CB11599 |
|
CONTENT
ssdeep
|
192:Q5nKnbzD715lt8iIGHOmd8i8jE2yJJsdw:Qynf1Zld89jUsdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e41b9be464c365 |
|
VISUAL
aHash
|
fffffff7ffff0000 |
|
VISUAL
dHash
|
203e06a624480600 |
|
VISUAL
wHash
|
ffdff3d3f3000000 |
|
VISUAL
colorHash
|
070000000b0 |
|
VISUAL
cropResistant
|
0430162626a60690,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.