Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101A3EB33415975274437C2C1306A6B3BD1A6D99FFEE70A414EECC7FA2AFACA0741A119 |
|
CONTENT
ssdeep
|
1536:3rNtpR4nXBKpSpFl26vVyGNnJX5VOO469FFdRw/qLL6dK:RUM45JvLX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212e93872ef5971 |
|
VISUAL
aHash
|
00040404041fffff |
|
VISUAL
dHash
|
f9ecccec9cbc002b |
|
VISUAL
wHash
|
000e060604ffffff |
|
VISUAL
colorHash
|
0b002000c40 |
|
VISUAL
cropResistant
|
b4849322dc2020c0,8080418181610080,0010609090004080,8c843032229e9292,fc000956562b232f,d1fdecccecec9cfc |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.