Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157544B36D1740733858F43CCE3F56016912AD1CCE656B94E7ADE827AFE8EC849CB1A49 |
|
CONTENT
ssdeep
|
1536:7gwtvFlZvK1vmtEgFp3jETTTY++F0Pg9mdHZMuM33/fOPt4fP7tiKTqt5NV1NDGE:QvmtEgL3gTTTY+l6/HyMLgf1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c12cbf61cc356917 |
|
VISUAL
aHash
|
000000787ce06eff |
|
VISUAL
dHash
|
b26933d0c0dbd8dc |
|
VISUAL
wHash
|
0010007c7cedfeff |
|
VISUAL
colorHash
|
132000001c0 |
|
VISUAL
cropResistant
|
d0c0c0cbd8d8dc79,b26931d0c0c1d8dc |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)