Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125545B36D1740733858F43CCE3F56016912AD1CCE256B94E7ADE827AFE8EC849CB1A49 |
|
CONTENT
ssdeep
|
1536:7gwtvFlZvK1vmtEgFp3jETTTY++FGPg9mtHdMuM33/fOPt4fP7tiKTqt5NV1NDGE:QvmtEgL3gTTTY+JG/HyMLgf1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13e3ec1c036bd4d |
|
VISUAL
aHash
|
0000007e7efa60ff |
|
VISUAL
dHash
|
b26931c0c2d2c4e5 |
|
VISUAL
wHash
|
0000007e7efe7cff |
|
VISUAL
colorHash
|
132000001c0 |
|
VISUAL
cropResistant
|
8081898989d1938c,e1c4c4e4e4193935,b26971d4c2d292e4 |
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)