Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC524F33B500CC2A4D9B25CCF2C49649015EC346FB3159CB61A491BF7BD5DF0699A7AC |
|
CONTENT
ssdeep
|
192:cUw+Owckclcbc4cqcXyBDfwAXVSObrxNeMcnthWeNWb6fMmUU8VCoV:Pckclcbc4cqcXYxVxPQfMmUFCoV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e255aa55aa55a85d |
|
VISUAL
aHash
|
4060606000410001 |
|
VISUAL
dHash
|
80c8909020010001 |
|
VISUAL
wHash
|
406fc0c000000303 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
80c8909020010001 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.