Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1C382D55618038CA14BDA7DEF2FFE05131FB1AABA548680294EC268D6CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:gac0RQ7Hs7OzhaahK+lFsR8MLqczXFsR8MLqcMWg:U0RQ7HK1aMfaY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ede9929669c944c5 |
|
VISUAL
aHash
|
fffff3d3d3d3ff00 |
|
VISUAL
dHash
|
33231212322612a4 |
|
VISUAL
wHash
|
81e3f383c393ff00 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
332b121232261b22,630743706f370ecd,0500000000000000 |
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 147 techniques to evade detection by security scanners and make reverse engineering more difficult.