Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
20 detections
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Detects endpoint-based retrieval of potential malicious payloads or configurations from blockchain-hosted infrastructure (e.g., Infura, Alchemy, public RPC nodes) using web-based RPC calls, followed by the execution of a script interpreter (e.g., PowerShell, WScript, MSHTA). This pattern is characteristic of 'EtherHiding' campaigns where smart contracts are used as decentralized and takedown-resistant storage for second-stage delivery.
Detects a malicious payload masquerading as a ClaudeDesktop installer that uses DLL sideloading via a tampered libcef.dll and a repurposed JetBrains binary to execute the SectopRAT .NET RAT.
Detects HTTP GET requests for executable or installer files (e.g., .exe, .msi) containing 'tradingview' in the URI, originating from suspicious external domains that are not associated with legitimate software providers such as TradingView, GitHub, SourceForge, Apple, Google, or Microsoft. This activity is indicative of JSCeal malvertising campaigns targeting users with fraudulent installers.
Detects HTTP GET requests for executable or installer files (e.g., .exe, .msi) containing 'tradingview' in the URI, originating from suspicious external domains that are not associated with legitimate software providers such as TradingView, GitHub, SourceForge, Apple, Google, or Microsoft. This activity is indicative of JSCeal malvertising campaigns targeting users with fraudulent installers.
SourTrade malvertising - TLS SNI exact match to known SourTrade infrastructure domain
Detects DNS queries matching known malicious infrastructure domains identified in SourTrade malvertising campaigns. These domains are often used by threat actors to host malicious payloads or C2 infrastructure.
Detects a multi-stage network activity pattern characteristic of 'SourTrade' cloaking. The rule tracks an initial HTTP request with a referral to a known lookalike crypto/trading domain, followed by the fetching of a client-side JavaScript fingerprinting script, and finally, a subsequent HTTP response that appears to be a near-empty decoy page (used to mask malicious content from crawlers).
Detects HTTP response bodies containing specific combinations of advertising tracking markers (Google gtag, Meta fbq, and Twitter twq) alongside known path indicators like '/config' or 'sw.js', which are characteristic of SourTrade malvertising landing pages.
Malvertising loader delivering CastleStealer via malicious Google Ads
Detects the use of PowerShell to initiate web requests to Storj-hosted URLs (link.storjshare.io or .storj.io), utilizing either the WebClient class or the Invoke-WebRequest cmdlet. This behavior is associated with the REF8372 OXLOADER malvertising campaign, where PowerShell scripts are used to download malicious payloads.
This rule detects HTTP traffic where the referer header contains domains commonly associated with advertising networks (doubleclick.net, adnxs.com, googlesyndication) and the URI contains file extensions typically used for executable or script files (exe, ps1, msi, hta, vbs). This combination suggests a malvertising redirect attempt leading to the download of malicious files.
This rule detects a drive-by download attempt initiated via a malicious advertisement. It specifically looks for HTTP responses to clients where the HTTP referer header contains common advertisement-related keywords (ad., ads., advert) and the response body contains the 'MZ' magic bytes, indicating an executable file download. This combination suggests a user was redirected from an advertisement to a site that then attempted to download an executable.
This rule detects the presence of a fake Windows 11 malvertising installer, specifically 'ms-update32.exe', which is known to be distributed via malicious advertisements. It correlates network connections to suspicious domains (including lookalike domains and GitHub hosting) with process execution from user-writeable paths or the presence of 'LunarApplication' artifacts, and registry modifications to the 'TIP\AggregateResults' key, indicating persistence. The rule requires at least two independent signals (registry write plus one or more supporting signals) within a 30-minute pivot window to reduce false positives.
Detects executable files with names containing PDF-related keywords (e.g., 'pdf', 'convert', 'editor') being dropped in the Downloads folder by a web browser process. This behavior is typical of users downloading potentially unwanted or malicious PDF converters, often delivered via SEO poisoning or malvertising campaigns.
This rule detects suspicious ad click traffic that routes through Google Ad Services It specifically looks for URLs containing Google Click Identifier (gclid), an ad URL, and a placement ID, while excluding legitimate ad routing services. This could indicate ad fraud or malvertising.
Most but not all clicks on Google ads are routed this way.
Most but not all clicks on Google ads are routed this way.
'Identifies an export of the ADFS DKM Master Key from Active Directory.
References: https://blogs.microsoft.com/on-the-issues/2020/12/13/customers-protect-nation-state-cyberattacks/,
https://www.fireeye.com/blog/threat-research/2020/12/evasive-attacker-leverages-solarwinds-supply-chain-compromises-with-sunburst-backdoor.html?1
To understand further the details behind this detection, please review the details in the original PR and subequent PR update to this:
https://github.com/Azure/Azure-Sentinel/pull/1562#issue-551542469
https://github.com/Azure/Azure-Sentinel/pull/1512#issue-543053339
'
References: https://blogs.microsoft.com/on-the-issues/2020/12/13/customers-protect-nation-state-cyberattacks/,
https://www.fireeye.com/blog/threat-research/2020/12/evasive-attacker-leverages-solarwinds-supply-chain-compromises-with-sunburst-backdoor.html?1
To understand further the details behind this detection, please review the details in the original PR and subequent PR update to this:
https://github.com/Azure/Azure-Sentinel/pull/1562#issue-551542469
https://github.com/Azure/Azure-Sentinel/pull/1512#issue-543053339
'
ZLoader was delivered in a campaign in late summer 2021 using malvertising to download malicious .msi files onto affected machines. This campaign was originally tweeted by @MsftSecIntel on Twitter.
In this campaign, the malicious .msi files create registry keys that use that attacker-created comapny names.
In this campaign, the malicious .msi files create registry keys that use that attacker-created comapny names.
'This query looks at the last 14 days for "Consent to application" operation by a user/app which could potentially mean unauthorized access. Additional context is added from AuditLogs based on CorrleationId from the same account that performed the action.'
Jupyter, otherwise known as SolarMarker, is a malware family and cluster of components known for its info-stealing and backdoor capabilities that mainly proliferates through search engine optimization manipulation and malicious advertising in order to successfully encourage users to download malicious templates and documents. This malware has been popular since 2020 and currently is still active as of 2021.
ZLoader was delivered in a campaign in summer 2021 via malvertising. This campaign was tweeted about by @MsftSecIntel on twitter.