Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D43C635962643359F5E9BCCD1F1CE283118E28F6110A934A71887F6B6BECE87C3911E |
|
CONTENT
ssdeep
|
768:3QiVzJtibzhQx215S5m5O54sNpnAmVS2A71XQ8TdPLzB9gKJJ1JaRBLf8GTQrdB6:3A2VV8JQX2unvRsKv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb9b1a3074656d65 |
|
VISUAL
aHash
|
3c3c3c3800000000 |
|
VISUAL
dHash
|
79616171967060a0 |
|
VISUAL
wHash
|
3c3c3c3c18383cfe |
|
VISUAL
colorHash
|
01000e00000 |
|
VISUAL
cropResistant
|
6060e060a08060e0,79616171967060a0 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)