Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B545B36D1640733858F43CCE3F56016D12AD1CCE656B94E7ADE827AFE8EC849CB1A49 |
|
CONTENT
ssdeep
|
1536:7gwtvFlZvK1vmtEgFp3jETTTY++FyEPg9mZH1MuM33/fOPt4fP7tiKTqt5NV1NDB:QvmtEgL3gTTTY+a+/HyMLgf1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13e3ed1c036b94d |
|
VISUAL
aHash
|
0000007e7eea70ff |
|
VISUAL
dHash
|
b26931c0d29ae4e5 |
|
VISUAL
wHash
|
0000007e7efe7cff |
|
VISUAL
colorHash
|
122000001c0 |
|
VISUAL
cropResistant
|
8081899999993929,e1c5e4c4c4193935,b26971d4c2da8ae4 |
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)