Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19423312C7653740B653BC1D4F897AF04B846AB39C3145A2863B51BDE6FCBCE19826738 |
|
CONTENT
ssdeep
|
1536:hlGRngo87i3JQ9dZ71gwslLb/PtYOr5J7WAL5mAXFH52LEghonTLATTTR+TTyCSb:H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999663333339933 |
|
VISUAL
aHash
|
0018181818180000 |
|
VISUAL
dHash
|
4db2b2b2b2b24c4d |
|
VISUAL
wHash
|
243c3c3c3c3c2424 |
|
VISUAL
colorHash
|
07401008000 |
|
VISUAL
cropResistant
|
8696b2aababa66aa,4db2b2b2b2b24c4d |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.