Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5C143E0D551ED3B4752C6D9A7F96B0B7791C349CB02094493F883EF6BCAC60CB22999 |
|
CONTENT
ssdeep
|
96:TkSa8NeSTYOn3SZtGyt7O8wvF1e1XFHFpexX4X/DYcST5J:QSa8VMTtGy46fG2Xbsb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc80d8f8f8 |
|
VISUAL
aHash
|
3f3f3f3f3fffffff |
|
VISUAL
dHash
|
ccccdcd8d020c000 |
|
VISUAL
wHash
|
3f273f2f3f0f0000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
ccccdcd8d020c000,7174082000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.