Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147230960E836CC3740FB54E862B61E9D39A46B01D992068DE6D5D3E52BB3C9CCF2346D |
|
CONTENT
ssdeep
|
192:mG4MCWMclquMpMqSMlrMzMFQMCMYqAMCHpMMxM0MffMGb7M0MW9MrRqNMiEMCRqJ:/LygTY9bXp+EALAF3W4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b1b0b154fce444f |
|
VISUAL
aHash
|
0001ffff7e5effff |
|
VISUAL
dHash
|
6909d92b94946996 |
|
VISUAL
wHash
|
00007f5e6e42ff6e |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
6909d12b94946996,96696169696169e0,274b652523331313,1ce146ce4f4dcf4e,33799cfcf89c6933,93c14d2503938e12 |
Fake Amazon site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Malicious code is obfuscated using 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)