Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AE2D711E3402B36121303EDFB6067B6E3429255E39735A92AEB9FF86961F44E53305F |
|
CONTENT
ssdeep
|
384:haxwXCy9e03bczB1kru5b8FzhgnVYZhrIVAZGzcHrQ5/gGCqMd6ytgc/w:hacV3bczfky5xnKh0U3Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4699bcb64986c39 |
|
VISUAL
aHash
|
ffefc3c3c3c3ffff |
|
VISUAL
dHash
|
130e969696961816 |
|
VISUAL
wHash
|
99c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07600010000 |
|
VISUAL
cropResistant
|
130e969696961816,ffbfcfdbf7edff7f,4805a6920a289481 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.