
Arnold Chan
@slazTrusted contributorCompletionist
2 followers2,100 downloads4,386 copies51 likes26,183 views
7,555 detections
Filters
Last updated
All Time
Detection languages
5,650
1,006
394
169
98
Categories
2,356
1,807
1,233
1,013
924
Platforms
4,191
1,622
1,250
676
676
Products / Services
2,820
1,003
991
720
485
MITRE Techniques
2,087
1,520
1,413
1,070
536
CVEs
38
33
24
22
21
IDS Classtypes
477
179
104
79
52
IDS Protocols
554
156
144
86
18
Detects unauthorized modifications to the 'endo_voyager_dictation_endpoint' preference key within the 'com.meta.muse.plist' file on macOS. This key is an undocumented configuration setting that, if modified, allows an attacker to redirect dictation traffic to a malicious, attacker-controlled endpoint.
Detects unauthorized modifications to the 'endo_voyager_dictation_endpoint' preference key within the 'com.meta.muse.plist' file on macOS. This key is an undocumented configuration setting that, if modified, allows an attacker to redirect dictation traffic to a malicious, attacker-controlled endpoint.
Detects potential web shell installation via WordPress administrative panels. The rule identifies a WordPress administrator session executing a theme installation request triggered by an external (off-site) referer, followed shortly thereafter by the creation of new PHP files within the WordPress themes directory. This pattern is often indicative of an attacker leveraging a compromised admin session to upload a backdoor.
Detects potential web shell installation via WordPress administrative panels. The rule identifies a WordPress administrator session executing a theme installation request triggered by an external (off-site) referer, followed shortly thereafter by the creation of new PHP files within the WordPress themes directory. This pattern is often indicative of an attacker leveraging a compromised admin session to upload a backdoor.
Detects potential zero-click administrator session hijacking by correlating a logged-in administrator accessing a page containing user-generated content (e.g., comments) followed immediately by a sensitive administrative action (e.g., plugin installation, user creation) within a 5-second window, suggesting automated script execution via an autofocus/onfocus handler triggered by the admin's browser.
Detects potential zero-click administrator session hijacking by correlating a logged-in administrator accessing a page containing user-generated content (e.g., comments) followed immediately by a sensitive administrative action (e.g., plugin installation, user creation) within a 5-second window, suggesting automated script execution via an autofocus/onfocus handler triggered by the admin's browser.
Detects potential zero-click administrator session hijacking by correlating a logged-in administrator accessing a page containing user-generated content (e.g., comments) followed immediately by a sensitive administrative action (e.g., plugin installation, user creation) within a 5-second window, suggesting automated script execution via an autofocus/onfocus handler triggered by the admin's browser.
This rule identifies enterprise resource access from OnePlus or OxygenOS devices that lack proper management or compliance. It calculates an exposure score based on factors including device management status, compliance state, device trust type, and whether the device is newly observed. The rule flags high and medium priority exposure incidents, specifically targeting non-managed or non-compliant BYOD devices, which could represent an increased risk profile for corporate data access.
This rule identifies enterprise resource access from OnePlus or OxygenOS devices that lack proper management or compliance. It calculates an exposure score based on factors including device management status, compliance state, device trust type, and whether the device is newly observed. The rule flags high and medium priority exposure incidents, specifically targeting non-managed or non-compliant BYOD devices, which could represent an increased risk profile for corporate data access.
This rule identifies enterprise resource access from OnePlus or OxygenOS devices that lack proper management or compliance. It calculates an exposure score based on factors including device management status, compliance state, device trust type, and whether the device is newly observed. The rule flags high and medium priority exposure incidents, specifically targeting non-managed or non-compliant BYOD devices, which could represent an increased risk profile for corporate data access.
Page 303 of 756
