Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16254A3DA6234232EF04DD7ACDFAFDD94215960CFB6608281D6EBCB9E905C8C1FE18564 |
|
CONTENT
ssdeep
|
1536:aexH+/AAME8/14GzDPRD2316+Hph5R5a+wPQUMv27wb0bQbdbzwKuiUjadrGuvi8:aH6+Hc+kMv27ia84YNNMU8NJOV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac17d37a3cc34334 |
|
VISUAL
aHash
|
3c3f3b1393d1ffff |
|
VISUAL
dHash
|
7578662636234926 |
|
VISUAL
wHash
|
041f13131111ffff |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
7578662636234926 |
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 88 techniques to evade detection by security scanners and make reverse engineering more difficult.