Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155A3CE234269752B4437C3C0347A5B3BE5A6998FFAE709404EECC7F72AF9C90741A259 |
|
CONTENT
ssdeep
|
1536:e3OztpR4nXBKpSpFl26vLCN8d6cuJUgC8kS:JUMVoS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d01d3137d2f |
|
VISUAL
aHash
|
00170f3e3e0f01ff |
|
VISUAL
dHash
|
dcb73cdcdcbcf700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb77cdcdcb9f700,dcbf3ddcdcdcb777,b39306b6b796b3a3,6e878bc1a7a7aeca,68081032320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)