Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122D113E1C128DC3643128AD9B7F9671B76A1C348CF02094467F883BB6BDFCA0DB55559 |
|
CONTENT
ssdeep
|
96:Tk1wsetUOZOpenzH0LSSTKKiEUwvF2eRXYHFquepXlHkURkXbz/GjSTu1hR:Q1wRth4YnzH0LPLiEPCYrlezOu61T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb1eec311bf8080f |
|
VISUAL
aHash
|
0f8f0f0f0f0fffff |
|
VISUAL
dHash
|
9b7e7b9b5ada18e8 |
|
VISUAL
wHash
|
09070f0d0f0f0fff |
|
VISUAL
colorHash
|
07200040002 |
|
VISUAL
cropResistant
|
9b7e7b9b5ada18e8,3f03000e00f00678,0001000c01094107,1c2c656533338666,03637f0f01e0c51f |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.