Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D04245A28440542B111641CA7657EF8B3483E2458F7A0851A79543AB7FEF7E0ACFF39B |
|
CONTENT
ssdeep
|
192:RSiS7oiwQcYIggT8Le69omlu3sIbyxKDW6gtz3pj0Y02a:RSiS7oiwQ8o1wJe3pj/0B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0316547cf4f1b19 |
|
VISUAL
aHash
|
00c3c3ffffe7ffff |
|
VISUAL
dHash
|
961e9e36320f0c00 |
|
VISUAL
wHash
|
0000c3c3c3c3e7ff |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
961e9e36320f0c00,171b5b4646ca2c04,0000343430303410,2c4c92d2d6964c7c |
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)