Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1874330646841FC3F51C78EE891725369A3A68741CF138685BAE083F94BEADADCF33115 |
|
CONTENT
ssdeep
|
768:ytb+sIx/j1TwCD3tZ6rcFw3/lL41Uf74F:ob+sIxxkCDdZ6N3/lL4S74F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
adf093e86d12e52a |
|
VISUAL
aHash
|
ffffdf8381f31c1e |
|
VISUAL
dHash
|
23cb362723667962 |
|
VISUAL
wHash
|
ffff8fc18103001e |
|
VISUAL
colorHash
|
07000200180 |
|
VISUAL
cropResistant
|
23cb362723667962 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.