Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134A2C5F16580702F6257C3C9AF266BBD739651E7E6D6010193FCC7898E8BC82EE0B945 |
|
CONTENT
ssdeep
|
384:iN0IRZ6slse9m+pP0eRZ63ls+sV0IRZ6slse9m+pP0eRZ63ls+Y:i6yZ6iiOsgZ6qryyZ6iiOsgZ6q1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3938caca4939ea6 |
|
VISUAL
aHash
|
7e646c6c00181800 |
|
VISUAL
dHash
|
f4ccc9c9cc3270b2 |
|
VISUAL
wHash
|
ff7e7c6c04183c18 |
|
VISUAL
colorHash
|
31018000c00 |
|
VISUAL
cropResistant
|
762c99f2c0808183,f4ccc9c9cc3270b2 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)