Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B841F1F2C285B633225286C6FEB0BB39F5D3014EF9411692C6F105FD03C5EBAD442A46 |
|
CONTENT
ssdeep
|
24:hamspWxqnINXwb4keY5xuOala5Cx65z5Pi8uOenFWEK1hxCBbjv+OhoQQCGbjvy+:epWxqnmkwvlFx6b807m7roj7ao77ro6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfb333c73031c698 |
|
VISUAL
aHash
|
ef3c3c003c7c3000 |
|
VISUAL
dHash
|
4969792af165600a |
|
VISUAL
wHash
|
ff3c3c307c7c3c00 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
3232b232b6323232,9c7c424c7e480c1e,4969792af165600a |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)