Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180A32136923A1413515FB2D8F2648B193293CB9AC7534BF662B812F6BBCDCB56D1318C |
|
CONTENT
ssdeep
|
3072:mwhhSRQGlg4XIPyz1B6Jlj/YnWUoXMtWokGtq:vhOJVBz1B6JljQWUoXMtWokGtq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34e3b32cb164536 |
|
VISUAL
aHash
|
81c1307eef4646ef |
|
VISUAL
dHash
|
032be2c28b8a8c9b |
|
VISUAL
wHash
|
00c1307aefc746ef |
|
VISUAL
colorHash
|
06200038001 |
|
VISUAL
cropResistant
|
032be2c28b8a8c9b,099964f1330f2b26,97c56931f1e1a0ac |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.