Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129E3A550F124B0BF650B87EEA231BA81749D95DFD54684ECB3BE03948FE3C20AD554EA |
|
CONTENT
ssdeep
|
1536:DDgBiM+ktRDdIcfV1laWDoesVMYBWBM8ORYcG:DDgBiUnDPlaWDoesRYcG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b366668ccc99cc99 |
|
VISUAL
aHash
|
e7e7e7ffe7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d1c5c4c4c4c |
|
VISUAL
wHash
|
c0c0c0e4e7e7e7c3 |
|
VISUAL
colorHash
|
070010000c0 |
|
VISUAL
cropResistant
|
4d4d4d1c5c4c4c4c,909592b237b4b662 |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.