Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152B2541221085A96C2F38CD958006A446246EB0FC8319770D6FC5E7F1BE2A76B79DF7E |
|
CONTENT
ssdeep
|
384:TOC+p3rm3rm3ry6ljjYkjpZlrYSRIAxOul7EjFhpu145:KrGrGr5jpOSQqKhN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad42113d56a57b |
|
VISUAL
aHash
|
7fffff8f8ffcfcfc |
|
VISUAL
dHash
|
8688273f18000808 |
|
VISUAL
wHash
|
006781818ffcfcfc |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
8688273f18000808,0000203232100800,49c9d694d8a491ca |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.