Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAA13134711C793F921395D97C8E3E2E225AE306F256416066BD82B80FFBC30F42A619 |
|
CONTENT
ssdeep
|
96:pRc8eif0uspws90Ouv0D4muaye9UyAKDYaNXn++0uwdOx5E2i6Y60agHGY9cYEcC:pRc8/fbVs9Pv9UyBDXNV0uwdOx5E2/7Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5a54a5ae15a5a0e |
|
VISUAL
aHash
|
e0f3f3f3e3800000 |
|
VISUAL
dHash
|
0206060606206161 |
|
VISUAL
wHash
|
f2f3fbfbf3800000 |
|
VISUAL
colorHash
|
06600180000 |
|
VISUAL
cropResistant
|
0000000000000000,78f0f89431acf0e0,0206060606206161 |
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.