Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AF110E1C015ED3B436396D9A7B62B1B77D1C359CF02094493F883AF5BCEC90DA2259A |
|
CONTENT
ssdeep
|
96:Tkfg1DtSTBEWhUSPRr8v67Lv/qtFBlfiXHjylqCXTjj/n0z7mSTyR:Qfg1DcVB8i/SnMmvMz7Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9d973b34866a648 |
|
VISUAL
aHash
|
3c3c3c38bcff0000 |
|
VISUAL
dHash
|
72b23232320c0000 |
|
VISUAL
wHash
|
bc3c3c3cbfff0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
72f232723332320c,28c2000000004001,0900084802848101,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.