Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5B3EF234269762B4437C7C030695B7BE1A6999FFAE70A000EDCC7F66BF9CA0741A51D |
|
CONTENT
ssdeep
|
1536:ritpR4nXBKpSpFl26v8SZG5hHFRC4+DRVIXzui:SUMFhlRCBl4zui |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2ec6d7a92926d10 |
|
VISUAL
aHash
|
f0f0f4eeee000000 |
|
VISUAL
dHash
|
01030ccc4c093839 |
|
VISUAL
wHash
|
f8f0fefefe800400 |
|
VISUAL
colorHash
|
180000001c0 |
|
VISUAL
cropResistant
|
1012202040000103,800080c040c08080,8000806060c08080,8080403034800080,80808080a0800080,01030ccc4c093839 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.