Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCA3A43251C4227B06D3089DBDB3B7E6A1E3D30DDD9345C9A2BE87D81BE7C91946309A |
|
CONTENT
ssdeep
|
1536:lzV4YdfPvNndycvNI777OMzc2xRvQxdvOxavJWIvMv+vuvAiFOg5tiuPFFOZuxcG:ulTctyn9gX/Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc15e215ce356eb1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
76e2b27272b08c01 |
|
VISUAL
wHash
|
037f3f080000ffff |
|
VISUAL
colorHash
|
01038000000 |
|
VISUAL
cropResistant
|
acc0000000002121,76e2b23270723884,45601a84e7835b43 |
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 670 techniques to evade detection by security scanners and make reverse engineering more difficult.