Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109417B319413EE33019396D5ABA69B0A33E48184CA930F17A2F1A31C4FFDDD5CC13291 |
|
CONTENT
ssdeep
|
24:h+xT48MR5oCqyvbkSCtsNNfF2qu9rCi+/EwpoUSDU4DQD3HyLpd8ZqZqKhL87o5E:QBrMR5xbkSi2fF8iooHyLp2ZrKB4x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a41b936599cc6733 |
|
VISUAL
aHash
|
0f07030303030f3f |
|
VISUAL
dHash
|
ffdf87979787d7ff |
|
VISUAL
wHash
|
1f0f030b03073f7f |
|
VISUAL
colorHash
|
17000018003 |
|
VISUAL
cropResistant
|
ffffffffffffffff,329535c531318530,ffdfc7d3d3c7dfff |
Victim enters credentials into 1 fake form. Form data is captured via JavaScript or backend submission and transmitted to attacker's server for account compromise.
Malicious code is obfuscated using 2 techniques to evade detection by security scanners and make reverse engineering more difficult.