Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E123D9B110C45B6B17E783C4A350970FE2DB8100B27AC66AF9D58B5F1789E95C836FAC |
|
CONTENT
ssdeep
|
1536:rPOPF8ZkIB+0ck4Ss9OPlwPZKPzrlRblxjgJD9FgnA:rPOPmk/uAiU98A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
956ae9b2ecea8590 |
|
VISUAL
aHash
|
ff0000006e6e4e5e |
|
VISUAL
dHash
|
31f0d4f0dcdc9cd4 |
|
VISUAL
wHash
|
ff0030007e7e4e7e |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0021412323490006,928fcb8a8e86848c,84c4e0b0885e988e,53c08390e0301cc6,30994ec3e1606468,30c0d0dcdcdc9cd4 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.