Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8831AA43949F5275AB343A710DF15037378122B580D4C30B294EDAEA6BDC9BB06BFD9 |
|
CONTENT
ssdeep
|
1536:uIIX++UlUuRNka2wblHbJLwLIz9GguGOjjRnK:w++grX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96664de9b99a1a98 |
|
VISUAL
aHash
|
000000efffffffff |
|
VISUAL
dHash
|
23c4cd1d12183030 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0003413333410003,c4cd0d1610303030,43c3c4c4c4cd6d2d |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.