Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B7184B0520A0C6F64C3C3E0E7F57B1BA3EA8355D6174B0CA6FD22766AC6C49EC53250 |
|
CONTENT
ssdeep
|
96:TGAOV4Z8m+Sk1xK55/sJp/HyEk3EVFCZCLcErReN:zM4ZL+SPdsJp/SEjEZCLHrReN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc993366cc99666c |
|
VISUAL
aHash
|
0000181818000000 |
|
VISUAL
dHash
|
083032b2b2141000 |
|
VISUAL
wHash
|
3c3c3c3c1c1c1808 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
8200308696300482,083032b2b2141000 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.