Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113E16323B50145061133CAC5F984BD09A9E6E38FC649CAE0B1F685F93FC9DF168B7269 |
|
CONTENT
ssdeep
|
192:z7ydpYik6G2RV04BA010n0okDS0hYHBHWU:vepYikL2RV0Y3G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c673cc64643366 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4d |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
0e600008040 |
|
VISUAL
cropResistant
|
4d4d4d4d4d4d4d4d,302c3232322c23f0,8e0686aaaaaaaacc |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.