Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F54BE234159692A4437C3C034799B7AD5A6DE8BFAA70A014FECC7F73AF9C50741A22D |
|
CONTENT
ssdeep
|
1536:ORARUgQmTa3MZo+Hd1+40FGptSrd+Smfu4/ZT4oU5yd07z6B/CmErlek2XdtzwKj:nOQorfQwIErlek8dt84Y4t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba1af4f591081ed6 |
|
VISUAL
aHash
|
00800001ffdffbff |
|
VISUAL
dHash
|
9c4d696bb937270c |
|
VISUAL
wHash
|
00800101ffdff3ff |
|
VISUAL
colorHash
|
06002600008 |
|
VISUAL
cropResistant
|
9c4d696bb937270c,017a6aa804080808,0081618191410181,0001010140014100,8382212143439286,caceca9696aa3474,5c26e627474d1387 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)