Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C735BF9B4C4B51306F3419271BB6A07B37D440F681D44B0E258DBCFB6E486AA0ABBD5 |
|
CONTENT
ssdeep
|
1536:XMSRH1j+lcF2XvfVIpHMQL0tYwsGOrypqCdzQ2N0msQw:XLMlo2fdIe3nVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9edf412366d4616 |
|
VISUAL
aHash
|
fffffbf900000000 |
|
VISUAL
dHash
|
92527233cdc8d2c2 |
|
VISUAL
wHash
|
fffffffb04000000 |
|
VISUAL
colorHash
|
1b003000180 |
|
VISUAL
cropResistant
|
0212529272727263,826c94949494cc22,1272730aedc8d2c2 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.