Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199338472A1422A3F406342E1A71CF66ED3C9DA2EC7679E57F7E8C32715CACA09D35058 |
|
CONTENT
ssdeep
|
768:K4gfYqWEUMS9sQBbEzQWnRiy08gm6dHFgfYqWEUMS9sQBbEzQWnRiy08gm6dHth4:+HGh320YBsed5+9ge0rxTAa8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
963e6d63c1c9d21c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
c32b6cdccccc3348 |
|
VISUAL
wHash
|
00007e7e7e7e00ff |
|
VISUAL
colorHash
|
07083000000 |
|
VISUAL
cropResistant
|
ee8caeb2be8c8e32,0001000000002054,c32b3cccd4cccc33,452549d5e5710145 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.