Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BB55B13E3560509A67658D4F05B6BAA29480A8DA30A4BF07BADCB79BCCF17733307D5 |
|
CONTENT
ssdeep
|
6144:HYy9mAyioQ3lhh989BKg9Ym7FAm0H/4U4npJXSPcjFO5UwIO3G4nrMh:HYyBSg/mY1rMh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a719b20758a75 |
|
VISUAL
aHash
|
efffe7c3e7ffc3c3 |
|
VISUAL
dHash
|
968e8e8e8e488e96 |
|
VISUAL
wHash
|
c3c3c3c3c3e7c2c2 |
|
VISUAL
colorHash
|
06c00008200 |
|
VISUAL
cropResistant
|
968e8e8e8e488e96,565656291b56565f,91c9ad52526babcd |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)