Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138D2CB32E20429360367D2D1E985B5BEF6FE6939E7194D70BEDC027E7B824F44472988 |
|
CONTENT
ssdeep
|
384:NbiW26kuaS5Wjebew/J0F+97Z+X4L4HLZAjzKdSt2FGQhcePiT+IGrf:JiW26kuaS5Wjebew/J0F+tZ++TEfW2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93939b6d6c646466 |
|
VISUAL
aHash
|
0c6e6e4678382024 |
|
VISUAL
dHash
|
98d8dcd4d3f0c4c8 |
|
VISUAL
wHash
|
0c6e6e66783c3c3c |
|
VISUAL
colorHash
|
30400018001 |
|
VISUAL
cropResistant
|
8c0c99cdcc1c2c2d,98d8dcd4d3f0c4c8 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)