Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154C132E0D051ED3B475385D9ABF9AB0B7791C349CB06094493F883BF9BCAC60CB25599 |
|
CONTENT
ssdeep
|
96:Tk2a8NeSTYOnH9ZtGyt7udwvFOVeVXSHFketXpX/N+YcST5J:Q2a8VMCtGysEcVbXwsb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc88fcfc01 |
|
VISUAL
aHash
|
3f2f3f3f3fffffff |
|
VISUAL
dHash
|
d0ccccdcd0c00080 |
|
VISUAL
wHash
|
3f272f2f3f010000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d0ccccdcd0c00080,61710e2000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.