Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153B17135A4126C77A06BC2F1A7B0D73BB3D08649EB9303914BF4636D8BC6CE4EC55069 |
|
CONTENT
ssdeep
|
96:c9H09TBn9YLfqtvG7hD93rfEfmlDgVLutxRB3u:c9U9TS1931p7xX3u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e36632c6b2999999 |
|
VISUAL
aHash
|
c3c3e7c3e7ffffff |
|
VISUAL
dHash
|
8e8e8e8e0e445858 |
|
VISUAL
wHash
|
c383c3c3c0e0ecec |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
8e8e8e8e0e445858,6c9c9c24a48c8496,00000c3030040000 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.