Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1213235A29400541B111681CA7657EF4B3483E246CF7A0852A795439B7AEFBF09CFF39B |
|
CONTENT
ssdeep
|
192:hSiS7oiwQcYIGhT8Le69omlU3JwyLLDfdiz368i2a:hSiS7oiwQ851mS3368iB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e56d1a924f651a9a |
|
VISUAL
aHash
|
00c3c3c3ffe7ffff |
|
VISUAL
dHash
|
161696961e0d0c00 |
|
VISUAL
wHash
|
00c0c3c3c3c3e7ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
961696961e0f0c00,696169795f4ecc0e,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)