Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172411093C0B9500F17A52AA0690235C8D3C7115E9FF2DA88E4E074CDD5E9F618FB7188 |
|
CONTENT
ssdeep
|
48:qJbF5bbF5LcbF5LNTZTP0X+F+u/XpzEEvApwEAtE4ES1EEqwkU:qJbF9bFZcbFZnTP0Xw//ZEorEAtE4Ewj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a72763606c3c3f0d |
|
VISUAL
aHash
|
03e707977307ffff |
|
VISUAL
dHash
|
a64c6c2cc2ae00a8 |
|
VISUAL
wHash
|
032707070303ffff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
a64c6c2cc2ae00a8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.