Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D530AF93948B5521BA291C3B0AF365BF33A146F754C55B0B060CAA970F84A9407BF9E |
|
CONTENT
ssdeep
|
768:byWunMRW8n+WPyuNwS/11slfco/uTXjwqFrD5LL2r/q5uL9M6ZvFUQMbc5tvbHbz:LDVedqFLyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f56d0c25372170f |
|
VISUAL
aHash
|
fcbf0f073f3fff0f |
|
VISUAL
dHash
|
cc707d0c78749170 |
|
VISUAL
wHash
|
7c7f0f070f3f000e |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
cc707d0c78749170,454523d8c4e65145 |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)