Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19851FE70901ABC339113E1E86AD4AB9B31C7C615C68A254C63F4C3BC1EE3C5DDEA6669 |
|
CONTENT
ssdeep
|
48:LUk1UJhhzazKIC9TTOiyXyxnPG+xnGa26YXAPy9uileM7ay6BLPHwut16:LdO8zKIE+yxnPvxnbbBy9uiQMeBFPwu6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67e09890999fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccccd8d0d0d0 |
|
VISUAL
wHash
|
3f27373f3f300000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c989a90808080,f184acb6b6ac84f3,0e71710e20000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 10 other scans for this domain