Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1528273716264293B1157C3EDE7F1B76E328AE259C68B161047F9C3AC1BD3DA0EE466C0 |
|
CONTENT
ssdeep
|
192:W9OQW/1ItzTAH5gBsmxBQZ4CZTowwv+xpFhEVdOcbXxs+P+PHzVRraFH/lJd/Ebr:W9udavAZyxBQC4dE3sTBwTJpaAZ1vuMi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99db6726323189ce |
|
VISUAL
aHash
|
00183c3c3c3c1800 |
|
VISUAL
dHash
|
0c7071717171700e |
|
VISUAL
wHash
|
003c3c3d3d3f3f03 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
96b2e4e6e6e66631,0c7071717171700e |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)