Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D04B6F0A3A536FE288762D1670D734DB6CA80CBEB901E55C3E0C689624FFC1D66E558 |
|
CONTENT
ssdeep
|
3072:iMQASYxJVtrYJVtrrxvMQA8sxJVtrYJVtrrxVMQA8sxJVtrYJVtrrxVMQA8sxJVi:vgYxJVtrYJVtrrxE+sxJVtrYJVtrrx2g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93cd3669692c3669 |
|
VISUAL
aHash
|
007e7e7e787e3e06 |
|
VISUAL
dHash
|
83dcdcd0d2d8dc8c |
|
VISUAL
wHash
|
003e7e7e787c3c06 |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
cc995949092e6d0d,83dcdcd0d2d8dc8c,8e8eccdcd8c8c8d6,cb1333944bd39320 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)