T1583.008: Malvertising
Adversaries may purchase online advertisements that can be abused to distribute malware to victims. Ads can be purchased to plant as well as favorably position artifacts in specific locations online, such as prominently placed within search engine results. These ads may make it more difficult for users to distinguish between actual search results and advertisements.[1] Purchased ads may also target specific audiences using the advertising network’s capabilities, potentially further taking advantage of the trust inherently given to search engines and popular websites.
Adversaries may purchase ads and other resources to help distribute artifacts containing malicious code to victims. Purchased ads may attempt to impersonate or spoof well-known brands. For example, these spoofed ads may trick victims into clicking the ad which could then send them to a malicious domain that may be a clone of official websites containing trojanized versions of the advertised software.[2][3] Adversary’s efforts to create malicious domains and purchase advertisements may also be automated at scale to better resist cleanup efforts.[4]
Malvertising may be used to support Drive-by Target and Drive-by Compromise, potentially requiring limited interaction from the user if the ad contains code/exploits that infect the target system's web browser.[5]
Adversaries may also employ several techniques to evade detection by the advertising network. For example, adversaries may dynamically route ad clicks to send automated crawler/policy enforcer traffic to benign sites while validating potential targets then sending victims referred from real ad clicks to malicious pages. This infection vector may therefore remain hidden from the ad network as well as any visitor not reaching the malicious sites with a valid identifier from clicking on the advertisement.[2] Other tricks, such as intentional typos to avoid brand reputation monitoring, may also be used to evade automated detection.[1]
Security context for executives and security teams
T1583.008: Malvertising describes Adversaries may purchase online advertisements that can be abused to distribute malware to victims. Ads can be purchased to plant as well as favorably position artifacts in specific locations online, such as prominently placed within search engine results. These ads may make it more difficult for users to distinguish between actual search results and advertisements.(Citation: spamhaus-malvertising) Purchased ads may also target specific audiences using the advertising network’s capabilities, potentially further tak...
Executive priority
T1583.008: Malvertising is an official MITRE ATT&CK technique. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate T1583.008: Malvertising by reviewing the official ATT&CK relationships, mapped tactics (resource-development), supported platforms (PRE), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
Detection direction
- Validate whether T1583.008: Malvertising appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Malvertising
Adversaries may purchase online advertisements that can be abused to distribute malware to victims. Ads can be purchased to plant as well as favorably position artifacts in specific locations online, such as prominently placed within search engine results. These ads may make it more difficult for users to distinguish between actual search results and advertisements.[1] Purchased ads may also target specific audiences using the advertising network’s capabilities, potentially further taking advantage of the trust inherently given to search engines and popular websites.
Adversaries may purchase ads and other resources to help distribute artifacts containing malicious code to victims. Purchased ads may attempt to impersonate or spoof well-known brands. For example, these spoofed ads may trick victims into clicking the ad which could then send them to a malicious domain that may be a clone of official websites containing trojanized versions of the advertised software.[2][3] Adversary’s efforts to create malicious domains and purchase advertisements may also be automated at scale to better resist cleanup efforts.[4]
Malvertising may be used to support Drive-by Target and Drive-by Compromise, potentially requiring limited interaction from the user if the ad contains code/exploits that infect the target system's web browser.[5]
Adversaries may also employ several techniques to evade detection by the advertising network. For example, adversaries may dynamically route ad clicks to send automated crawler/policy enforcer traffic to benign sites while validating potential targets then sending victims referred from real ad clicks to malicious pages. This infection vector may therefore remain hidden from the ad network as well as any visitor not reaching the malicious sites with a valid identifier from clicking on the advertisement.[2] Other tricks, such as intentional typos to avoid brand reputation monitoring, may also be used to evade automated detection.[1]
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Related techniques
This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1583 | Acquire Infrastructure | This object subtechnique of Acquire Infrastructure. |
Groups, software, and campaigns
G1020: Mustard Tempest
Mustard Tempest is an initial access broker that has operated the SocGholish distribution network since at least 2017. Mustard Tempest has partnered with Indrik Spider to provide access for the download of additional malware including LockBit, WastedLocker, and remote access tools.[1][2][3][4]
S1130: Raspberry Robin
Raspberry Robin is initial access malware first identified in September 2021, and active through early 2024. The malware is notable for spreading via infected USB devices containing a malicious LNK object that, on execution, retrieves remote hosted payloads for installation. Raspberry Robin has been widely used against various industries and geographies, and as a precursor to information stealer, ransomware, and other payloads such as SocGholish, Cobalt Strike, IcedID, and Bumblebee.[1][2][3] The DLL componenet in the Raspberry Robin infection chain is also referred to as "Roshtyak."[4] The name "Raspberry Robin" is used to refer to both the malware as well as the threat actor associated with its use, although the Raspberry Robin operators are also tracked as Storm-0856 by some vendors.[5]
All related ATT&CK context
Mitigation direction
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates.
Imported snapshots across ATT&CK releases(3)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 20.0 | 1.0 | Current bundle | 630a439f47b0… | ||
| 19.2 | 1.0 | Older bundle | 630a439f47b0… | ||
| 19.1 | 1.0 | Older bundle | 630a439f47b0… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
- [1]spamhaus-malvertising
Miller, Sarah. (2023, February 2). A surge of malvertising across Google Ads is distributing dangerous malware. Retrieved February 21, 2023.
Open source URL - [2]Masquerads-Guardio
Tal, Nati. (2022, December 28). “MasquerAds” — Google’s Ad-Words Massively Abused by Threat Actors, Targeting Organizations, GPUs and Crypto Wallets. Retrieved February 21, 2023.
Open source URL - [3]FBI-search
FBI. (2022, December 21). Cyber Criminals Impersonating Brands Using Search Engine Advertisement Services to Defraud Users. Retrieved February 21, 2023.
Open source URL - [4]sentinelone-malvertising
Hegel, Tom. (2023, January 19). Breaking Down the SEO Poisoning Attack | How Attackers Are Hijacking Search Results. Retrieved February 21, 2023.
Open source URL - [5]BBC-malvertising
BBC. (2011, March 29). Spotify ads hit by malware attack. Retrieved February 21, 2023.
Open source URL - [6]mitre-attackT1583.008Open source URL
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