Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3428233A600D92A4D9B5188F1C4958C522AD346FB3148C7B27491FF7BC5CF129A93AD |
|
CONTENT
ssdeep
|
192:I2bnIaOMYcfcCOWQ0Tc56Kl1Kfx0PMcnthWeNWbIIMIgT71fMmUU8VCozed:scfcCOWQac4KlDXIMIgT71fMmUFCozed |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7625c48f66858b2 |
|
VISUAL
aHash
|
00ffffffff00ffff |
|
VISUAL
dHash
|
22c2080c08140800 |
|
VISUAL
wHash
|
00fee0e0e000f1f0 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
0000c020202020a0,00000c0c0c0c0c0c,0000000000000000,2020202010e6c611,0000000000000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.