Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9F1617453401C3B06C3E6E5B1BF7E8784D1C995E67B1986D2A98F0D4DCEFA8C8C4284 |
|
CONTENT
ssdeep
|
96:TaZ8KvqEV7cJ7nl+NptbaEvg87cmbvvEiZxpu6DVcdCjAUYci75KrNPxEPsDbcwQ:eZJzAcNTbTKcFBa+afRx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb755050697d7854 |
|
VISUAL
aHash
|
00ffff89ffffffff |
|
VISUAL
dHash
|
92cc2b2b230c0041 |
|
VISUAL
wHash
|
0076010181bfbffd |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d08c2b2b82040241,08509090708c32b2 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.