Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1013135B443A3D92A44B2D1C9B6BA1B5B27D0829CCAE3161163EDC39D0FEEC55FC53140 |
|
CONTENT
ssdeep
|
24:hR/CH1LohuxBVLxnjz5EB8VX4p0KKohzohun/ipmHp:T2Joa3LNe8VX4p0ytp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b673591c1c535d1c |
|
VISUAL
aHash
|
00e7e7e7dfffffff |
|
VISUAL
dHash
|
2a0c4e0c36240000 |
|
VISUAL
wHash
|
00c3e7e7001b0f0f |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
2a0c4e0c36240000 |
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 208 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)