Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A44235A28440542B111541CA7657EB4B3483E2458F7A0852AB9543AB7FEF7E0ACFF39A |
|
CONTENT
ssdeep
|
192:RSiS7oiwQcYIggT8Le69omlu3sIbyxKDW6gtz3pj0Y/WFw2a:RSiS7oiwQ8o1wJe3pj//WFwB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e16d43924f671a9a |
|
VISUAL
aHash
|
00c3c3c3ffe7ffff |
|
VISUAL
dHash
|
16169696160f0c00 |
|
VISUAL
wHash
|
0003c3c3c3c3e7ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
96169696160f0c00,696169795f4ecc0e,0000343430303410,32f0cc73f0ccc828 |
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)