Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5D27031B184373F4297D2D8B360772AB2D3828EEB9A191163F8579E0BD7E10DD5352A |
|
CONTENT
ssdeep
|
768:P/e/GLwDPePb0NGmTifMU97sOy2+y9BH4cLIe:SaPYN/o7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272fc3a814dc5e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c0cc849cdcd9300 |
|
VISUAL
wHash
|
00c4f0202f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c4848d9cdcd13 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.