Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136A37833411835274037C6D530A55B3BE2A6DD5FFAA70A010EECD7EA6BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:IELz4NP/y9svbliCdtnAVCzFtiuCa28y2O9:xmAEAVC4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362d53ab929b542 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
9ccccccacc2cd3d0 |
|
VISUAL
wHash
|
00fefc6c06007aff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080810030108080,9cccccc8c8cc0cd2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.