Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102E103E1C058DD37072246D5FBF52B5FB5D2C349CF06098493F842AB9BDACA0CB16699 |
|
CONTENT
ssdeep
|
96:TkbHkhOhHW0eGUEdt7BxwvlNNe2aXTHlbepXE4/OIt7jTQ4R:QbHkhOhHWsUEdPII2Mom4lNTQW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33361cccccccc93 |
|
VISUAL
aHash
|
ffc7c7dfe7efc700 |
|
VISUAL
dHash
|
044d1c20080e1e68 |
|
VISUAL
wHash
|
ffc3838f87c3c300 |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
044d1c20080e1e68 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.