Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B193A5B3A0A6512711E385D5E2762F5DF0E3821DCAD70845A7FCC3DD4FC9C84ADA24A6 |
|
CONTENT
ssdeep
|
1536:QAReTHOS/UYPso0CNBrU9tWBIIIIIIIIIIIIIIIIIIIIIIIIIeKsIIIIIIIIIIIw:XsTHOS/UYPso0CNBrU9tWAJeerWhmu9L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a34e394c194ce9f3 |
|
VISUAL
aHash
|
0000e7e7fffbe7cf |
|
VISUAL
dHash
|
324c0c8e08160c1a |
|
VISUAL
wHash
|
00e7e7e7e7c3c208 |
|
VISUAL
colorHash
|
07003008040 |
|
VISUAL
cropResistant
|
0c52323232520002,4c4d0e0c9a268d9a,95d5d7d6d6d6d5c7 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.