Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179D2E7A0F14426BB079780D87530AB8DE1DED24CDB2B8C54B39C81C797F6CD8C97A5A9 |
|
CONTENT
ssdeep
|
768:ZvugSXrqmWmyCG5REaN2xWZxMaLFYXDtuBAld0SCVULSfiivoQO:CGmWmb9aN2xWZxMaxYZTdvCVbaivoQO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d03a3ee23b9cc439 |
|
VISUAL
aHash
|
00007e7e7e7e1800 |
|
VISUAL
dHash
|
0dd4f0f0f0f4f033 |
|
VISUAL
wHash
|
000c7e7e7e7e7e00 |
|
VISUAL
colorHash
|
07407000000 |
|
VISUAL
cropResistant
|
3032b232b2b23232,0dd4f0f0f0f4f033 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.