Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE62A97161849F3742834394B3A56B6B7397C2C5D6420514E3FC831FAAEAF86DC321AE |
|
CONTENT
ssdeep
|
192:qDApz44adAvgIs0S9sYMQkeBSOA7THePBVMTd:qDA944QSeBSHiMTd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bdc31e96c12d1ec2 |
|
VISUAL
aHash
|
fbff89f9fb9f8f8f |
|
VISUAL
dHash
|
631a7373823c3a3a |
|
VISUAL
wHash
|
b1fb8981fb8b808e |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
631a7373823c3a3a,996c7616030349c8,25a4114cb1b14c00 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.