Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF0246E2C545CE3B071259C6FBB57F0BBA91C74ACF07054157F882A7DBDADA0CA12289 |
|
CONTENT
ssdeep
|
192:QY++09O23zH715lUtdIMalHUVVeqIMZ7yIMVkIMkn:QY2bmt+Mal+WMZ7/MVRMkn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecac13936c8c6567 |
|
VISUAL
aHash
|
fffff3f3f3ff0000 |
|
VISUAL
dHash
|
0036262626061840 |
|
VISUAL
wHash
|
ffc3f393d1f30000 |
|
VISUAL
colorHash
|
07400c00000 |
|
VISUAL
cropResistant
|
0030262626262618,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.