Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB431BFA3945B5561FA291D3B0AF364BB339242F740C55E17160CEA970F84A9503BF8E |
|
CONTENT
ssdeep
|
768:SyWuPuz/v/5yZLTXWsjwqDC1z/uoWL88n+IfVaSx991l3X8UvxuVdtpSxHyOzxHM:ueyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2b5afadace42a01 |
|
VISUAL
aHash
|
ffff044600000000 |
|
VISUAL
dHash
|
c339898c9a598a89 |
|
VISUAL
wHash
|
ffff6c660a007601 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
03d3d30b00020001,01010151e9610101,39898c9c9a79ca89 |
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 468 techniques to evade detection by security scanners and make reverse engineering more difficult.