Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11113EFA251A23441C27389CC84B59B5020C46A4EE753DD35D37D8FBDBFEE82279099BB |
|
CONTENT
ssdeep
|
384:3DOWMe0ezeB6eDlXTDaol03cbO0vsFiYK/M74UZh3gl4oyxGltph1r0:c9G3chscY7UUjJogg0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5aa52752ad52 |
|
VISUAL
aHash
|
ffffffe7e7fcfcfc |
|
VISUAL
dHash
|
0c20140c0c110901 |
|
VISUAL
wHash
|
00c7c7c3c3c0fcfc |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
0c20140c0c110901 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.