Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB332AE93955B5125B7340E3A0AF2A5BB33E242F780C59B0A550DEA970FC099507BFCE |
|
CONTENT
ssdeep
|
768:xyWufPcNwGHzuyT9H+/vFD5s/WWX8URD91HP41dHJpWpSxHyOzxHRBaW/Sy3sIWZ:jHPIdHJpfyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f56d0c25372170f |
|
VISUAL
aHash
|
fcbf0f073f3fff0f |
|
VISUAL
dHash
|
cc707d0c78641130 |
|
VISUAL
wHash
|
7c7f0f070f3f000e |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
cc707d0c78641130,45452398c4e65545 |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)