Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148232BF93C52F5169F7350E340AF188B733E281FA80C49A09154EFE975B8469606BFDA |
|
CONTENT
ssdeep
|
768:+iyWuPyWuHX8UXvhId434CH4K4ilSxHyOzxHRBaW/Sy3sIWj8zZs8LMRZEdDxxUJ:+cIHpxyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb94b438146bdb2d |
|
VISUAL
aHash
|
fffff9f999f9b1bb |
|
VISUAL
dHash
|
cc8e8331333b6363 |
|
VISUAL
wHash
|
fffff99008811131 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
cc8e8331333b6363,630743746f17ce4d,41002cb2b2328c51 |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.