Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C48339E0EA84FE2315F36093709B9107B73E581BF52D4890B94CCAD5B6EE86716772B0 |
|
CONTENT
ssdeep
|
1536:c7ZlgKX22mDGYDqx188xfklUcbCc3B2zQ2N0msQw:QTgKG2tYbUFWcVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b092c9e9e9e2a6a6 |
|
VISUAL
aHash
|
ff1e4e0000000000 |
|
VISUAL
dHash
|
d9949c8c173e1f16 |
|
VISUAL
wHash
|
ffdf4f0781818181 |
|
VISUAL
colorHash
|
00000038000 |
|
VISUAL
cropResistant
|
6bd9d8913c5cdcac,989c8c23163f1f16 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.