Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8E110E1D054DD3743A385D6BBF56B0B76D1C345CB020A4463F883AB5BDECA0CE6269A |
|
CONTENT
ssdeep
|
96:Tk9r4YFMSfuSTStb8v67TeS/Mi0FBOXrHFyyXaHFCSXfX//uElGR:Q9r4Yjjel8iRMiNgRX+Elc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8000ff8000fefffe |
|
VISUAL
aHash
|
7f2f2f3f1f7fffff |
|
VISUAL
dHash
|
c0dcddd1f1c020c0 |
|
VISUAL
wHash
|
7f000101007fffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c0dcddd1f1c020c0,f3c2a4b6b6b486f3,1ce1a9e056280000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.