Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C23A67041449D3F385383E0E735B63623AA92A6DA1346098AFD437C9F86C8EED776D4 |
|
CONTENT
ssdeep
|
384:wxlikrQubNoyVKObbFHiMRApKiMRAp3FBMn2Byn5BenuarCc4jp2jzvYhM:wn5ayEObFCm2Y50fOcZMM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef6892931a929a6e |
|
VISUAL
aHash
|
fdf1f1f1b1f1ffff |
|
VISUAL
dHash
|
61c323236363e363 |
|
VISUAL
wHash
|
bdf09190b0f1313f |
|
VISUAL
colorHash
|
07e00000008 |
|
VISUAL
cropResistant
|
61c323236363e363,863363736763d393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.