Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1D2857295AAAA7780A383E05675333732E7519DDA49021A43FC8BF44BCFF85FD12924 |
|
CONTENT
ssdeep
|
768:OqIIArdINPIXuuuu8AuuuudMuuuumuuuukuuuuH/uuuus4eQBF:xIIA2KsGGF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2a0955fbb391d46 |
|
VISUAL
aHash
|
1fffff4960000003 |
|
VISUAL
dHash
|
7fcf8d93852841f7 |
|
VISUAL
wHash
|
ffff7f4961000007 |
|
VISUAL
colorHash
|
12007000000 |
|
VISUAL
cropResistant
|
e6e6cc9e9a1e1a9b,23521a0b8988a427,7fcf8d93852841f7 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.