Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B13D93048846FBB95A382C59331764BD3D1C648DA76854DF5FA831F5AC8DCAC82BF98 |
|
CONTENT
ssdeep
|
768:rrFJBxkdBi+9zICzYLFbiO+3O/T/QsD6oSjpLEsar8Bt31tEJBf:rrFJBxqiWUCzYLTYO/TosspEWt31tEJ5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416eb4acbba9496 |
|
VISUAL
aHash
|
fd0006060600ffff |
|
VISUAL
dHash
|
71cceccceccc3933 |
|
VISUAL
wHash
|
ff0006060606ffff |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
002189617189014a,96d6e8b284710f8e,c0001a5b2c237313,ccecaccccceccce8 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)