Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19352322021519E3B41D7A6D872B1AF5F72E4C346E6070685E5FDC3EE0BEBC68CE22594 |
|
CONTENT
ssdeep
|
192:6i0nLetcU2+KugQbnWgeYAgQe24V05Db0ou6vfx54:l9aUOu7bn+YvPjVUDb0r6vfz4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3584ce6b39922e2 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
003010000c0c0004 |
|
VISUAL
wHash
|
000000ffefffff00 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
003010100c0c000c,100c32b2b2300810,0000000000000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)