Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15804DC20500AA527067772CD5E36A75B73C7030ACB22474A77F8C3AD6BDFC49DC2696A |
|
CONTENT
ssdeep
|
1536:ZGvksIxhhIL2XX6J3ByeeeYYeeeteeeZXXTXX0XX5XXSXXHXX4XXDgB/79F:H9k/7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2fc57245c13616 |
|
VISUAL
aHash
|
008505850485ffff |
|
VISUAL
dHash
|
c27d7d4d3d3d2632 |
|
VISUAL
wHash
|
028185858587ffff |
|
VISUAL
colorHash
|
0e000000c00 |
|
VISUAL
cropResistant
|
437d6d7d3d3d023c,42a1a24202a2a142,41010192ba920141,7c7c8cacfc3c3c3c |
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 80 techniques to evade detection by security scanners and make reverse engineering more difficult.