Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186231F32B6B3657F11BFB1CAE0163B4CD2C3E3A7D78427F2A4A080649665C59BDC3598 |
|
CONTENT
ssdeep
|
384:8nUC6BdTqP77TqP7QDMbyyxo+eMbyyxo+GoxpwRUupyuO9Yw20Ujt:HQDMbY9MbYqxGRZpy19YP0u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf469b8e7042de60 |
|
VISUAL
aHash
|
000100008f9f9f9f |
|
VISUAL
dHash
|
7173178e3d7f7c5a |
|
VISUAL
wHash
|
00010003dfffff9f |
|
VISUAL
colorHash
|
0e603000000 |
|
VISUAL
cropResistant
|
6183c6c6e4e6f64f,0c3f3b7c7b5a1a5a,3468388950e8b898,c173338d171f8c0c,8b9b5656e6b5899d |
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 637 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)