Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6127033B600DC2A899B56C8F2C09689415DC385F73148C6B2A481FFBBC5DF069A979D |
|
CONTENT
ssdeep
|
96:yCzaR1sYI+tnY+LSjcpssdxJ22McnthWeNWbnfMmORR1E8VConpkssdSQbl:idI9RqPdxrMcnthWeNWbnfMmUU8VCop2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b63cc93237d93832 |
|
VISUAL
aHash
|
8fff8fff0707ffff |
|
VISUAL
dHash
|
3cac3caced4c0008 |
|
VISUAL
wHash
|
07070707070f0f0e |
|
VISUAL
colorHash
|
07201018000 |
|
VISUAL
cropResistant
|
3cac3caced4c0008,2008b2b2b2200001,8101d4d401696101 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.