Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129716731B44D593BD20784A6D994671E30AB839ECE870110E5A453FE1BFAED79E19078 |
|
CONTENT
ssdeep
|
48:bG7vZRDuK/FflFfvv1M6x2cV3XlOH9mf+22FfrFf0gcniHl9H+nrMqMYqZqgX5:gZRaIjZt5VM55h+gS+F+AAqfX5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dbf0649b9b64049b |
|
VISUAL
aHash
|
c0c0b83c3c3d0000 |
|
VISUAL
dHash
|
1011416179692765 |
|
VISUAL
wHash
|
c1c0fcbc3d3f3130 |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
1011416179692765 |
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 90854 techniques to evade detection by security scanners and make reverse engineering more difficult.