T1055.009: Proc Memory

Adversaries may inject malicious code into processes via the /proc filesystem in order to evade process-based defenses as well as possibly elevate privileges. Proc memory injection is a method of executing arbitrary code in the address space of a separate live process.

Proc memory injection involves enumerating the memory of a process via the /proc filesystem (/proc/[pid]) then crafting a return-oriented programming (ROP) payload with available gadgets/instructions. Each running process has its own directory, which includes memory mappings. Proc memory injection is commonly performed by overwriting the target processes’ stack using memory mappings provided by the /proc filesystem. This information can be used to enumerate offsets (including the stack) and gadgets (or instructions within the program that can be used to build a malicious payload) otherwise hidden by process memory protections such as address space layout randomization (ASLR). Once enumerated, the target processes’ memory map within /proc/[pid]/maps can be overwritten using dd.[1][2][3]

Other techniques such as Dynamic Linker Hijacking may be used to populate a target process with more available gadgets. Similar to Process Hollowing, proc memory injection may target child processes (such as a backgrounded copy of sleep).[2]

Running code in the context of another process may allow access to the process's memory, system/network resources, and possibly elevated privileges. Execution via proc memory injection may also evade detection from security products since the execution is masked under a legitimate process.

EnterpriseT1055.009Sub-techniqueObject v2.0ModifiedMay 12, 2026, 15:12 UTC (UTC+00:00)

T1055.009: Proc Memory describes Adversaries may inject malicious code into processes via the /proc filesystem in order to evade process-based defenses as well as possibly elevate privileges. Proc memory injection is a method of executing arbitrary code in the address space of a separate live process. Proc memory injection involves enumerating the memory of a process via the /proc filesystem ( /proc/[pid] ) then crafting a return-oriented programming (ROP) payload with available gadgets/instructions. Each running process has its own directory, whi...

Executive priority

T1055.009: Proc Memory 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 T1055.009: Proc Memory by reviewing the official ATT&CK relationships, mapped tactics (stealth, privilege-escalation), supported platforms (Linux), and available local telemetry before making detection or mitigation decisions.

Likely telemetry

Official ATT&CK relationships and object metadata
Identity, privilege, and authentication events
Network, endpoint, and security-tool telemetry

Detection direction

Validate whether T1055.009: Proc Memory 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.

Official MITRE ATT&CK definition

Proc Memory

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

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.

ATT&CK relationship table

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.

Filter related techniques1 rows

Domain	ID	Name	Relationship / procedure
Enterprise	T1055	Process Injection	This object subtechnique of Process Injection.

Associated objects

Groups, software, and campaigns

C0035: KV Botnet Activity

KV Botnet Activity consisted of exploitation of primarily “end-of-life” small office-home office (SOHO) equipment from manufacturers such as Cisco, NETGEAR, and DrayTek. KV Botnet Activity was used by Volt Typhoon to obfuscate connectivity to victims in multiple critical infrastructure segments, including energy and telecommunication companies and entities based on the US territory of Guam. While the KV Botnet is the most prominent element of this campaign, it overlaps with another botnet cluster referred to as the JDY cluster.[1] This botnet was disrupted by US law enforcement entities in early 2024 after periods of activity from October 2022 through January 2024.[2]

Relationship explorer

All related ATT&CK context

uses · CampaignC0035: KV Botnet ActivityEnterprise mitigates · MitigationM1040: Behavior Prevention on EndpointEnterprise mitigates · MitigationM1022: Restrict File and Directory PermissionsEnterprise subtechnique of · TechniqueT1055: Process InjectionEnterprise detects · Detection StrategyDET0541: Detection Strategy for /proc Memory Injection on LinuxEnterprise

Mitigations

Mitigation direction

M1040: Behavior Prevention on Endpoint

Behavior Prevention on Endpoint refers to the use of technologies and strategies to detect and block potentially malicious activities by analyzing the behavior of processes, files, API calls, and other endpoint events. Rather than relying solely on known signatures, this approach leverages heuristics, machine learning, and real-time monitoring to identify anomalous patterns indicative of an attack. This mitigation can be implemented through the following measures:

Suspicious Process Behavior:

- Implementation: Use Endpoint Detection and Response (EDR) tools to monitor and block processes exhibiting unusual behavior, such as privilege escalation attempts. - Use Case: An attacker uses a known vulnerability to spawn a privileged process from a user-level application. The endpoint tool detects the abnormal parent-child process relationship and blocks the action.

Unauthorized File Access:

- Implementation: Leverage Data Loss Prevention (DLP) or endpoint tools to block processes attempting to access sensitive files without proper authorization. - Use Case: A process tries to read or modify a sensitive file located in a restricted directory, such as /etc/shadow on Linux or the SAM registry hive on Windows. The endpoint tool identifies this anomalous behavior and prevents it.

Abnormal API Calls:

- Implementation: Implement runtime analysis tools to monitor API calls and block those associated with malicious activities. - Use Case: A process dynamically injects itself into another process to hijack its execution. The endpoint detects the abnormal use of APIs like `OpenProcess` and `WriteProcessMemory` and terminates the offending process.

Exploit Prevention:

- Implementation: Use behavioral exploit prevention tools to detect and block exploits attempting to gain unauthorized access. - Use Case: A buffer overflow exploit is launched against a vulnerable application. The endpoint detects the anomalous memory write operation and halts the process.

M1022: Restrict File and Directory Permissions

Restricting file and directory permissions involves setting access controls at the file system level to limit which users, groups, or processes can read, write, or execute files. By configuring permissions appropriately, organizations can reduce the attack surface for adversaries seeking to access sensitive data, plant malicious code, or tamper with system files.

Enforce Least Privilege Permissions:

- Remove unnecessary write permissions on sensitive files and directories. - Use file ownership and groups to control access for specific roles.

Example (Windows): Right-click the shared folder → Properties → Security tab → Adjust permissions for NTFS ACLs.

Harden File Shares:

- Disable anonymous access to shared folders. - Enforce NTFS permissions for shared folders on Windows.

Example: Set permissions to restrict write access to critical files, such as system executables (e.g., `/bin` or `/sbin` on Linux). Use tools like `chown` and `chmod` to assign file ownership and limit access.

On Linux, apply: `chmod 750 /etc/sensitive.conf` `chown root:admin /etc/sensitive.conf`

File Integrity Monitoring (FIM):

- Use tools like Tripwire, Wazuh, or OSSEC to monitor changes to critical file permissions.

Audit File System Access:

- Enable auditing to track permission changes or unauthorized access attempts. - Use auditd (Linux) or Event Viewer (Windows) to log activities.

Restrict Startup Directories:

- Configure permissions to prevent unauthorized writes to directories like `C:\ProgramData\Microsoft\Windows\Start Menu`.

Example: Restrict write access to critical directories like `/etc/`, `/usr/local/`, and Windows directories such as `C:\Windows\System32`.

- On Windows, use icacls to modify permissions: `icacls "C:\Windows\System32" /inheritance:r /grant:r SYSTEM:(OI)(CI)F` - On Linux, monitor permissions using tools like `lsattr` or `auditd`.

Change history

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.

ATT&CK release: 19.2
Object version: 2.0
Created: Jan 14, 2020, 01:34 UTC (UTC+00:00)
Modified: May 12, 2026, 15:12 UTC (UTC+00:00)
Raw hash: ecb4e2be145ffb87...

Imported snapshots across ATT&CK releases(2)

Release	Bundle imported	Object version	Modified	Status	Raw hash
19.2	Aug 6, 2026, 02:58 UTC (UTC+00:00)	2.0	May 12, 2026, 15:12 UTC (UTC+00:00)	Current bundle	`ecb4e2be145f…`
19.1	Jul 14, 2026, 09:14 UTC (UTC+00:00)	2.0	May 12, 2026, 15:12 UTC (UTC+00:00)	Older bundle	`ecb4e2be145f…`

Raw source

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.

Open mirrored raw JSON Open MITRE-hosted copy

Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

[1]
Uninformed Needle
skape. (2003, January 19). Linux x86 run-time process manipulation. Retrieved December 20, 2017.
[2]
GDS Linux Injection
McNamara, R. (2017, September 5). Linux Based Inter-Process Code Injection Without Ptrace(2). Retrieved February 21, 2020.
Open source URL
[3]
DD Man
Kerrisk, M. (2020, February 2). DD(1) User Commands. Retrieved February 21, 2020.
[4]
mitre-attackT1055.009
Open source URL

Source and licensing

Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.

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