Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C9296A17085A92F0B43D2D946A2473F93C9A3CAF513A6C971D6C7583EC8B7DC972B04 |
|
CONTENT
ssdeep
|
384:iwFg8cO7BqmnfCOOZgEPEgZK7MuMjD7yPz:i/orqfeEPE77MuGHyPz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
863cf983ec2cd391 |
|
VISUAL
aHash
|
ff0000007e7e3eff |
|
VISUAL
dHash
|
dcf3f127d4d4d43b |
|
VISUAL
wHash
|
ff0000003e7e3eff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
0000002020c000ff,a8c02f2b2f540a80,b28c8c96968e88b2,a28c8ab2969680a2,aa8c8e96ae8e80a2,b28c8e968e8e80a2,4a0000000000104c,dcf3f027e4d4d4dc |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.