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CVSS: 7.8 CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H 🐛 CWE-122
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2026-48373

CVE-2026-48373 Heap Buffer Overflow in Acrobat
📅 PUBLISHED: 2026-07-17 20:17 UTC 🔄 UPDATED: 2026-09-26 06:29 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.34%
👁️
0.34% probability
8.4× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1203
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
Country: United States License: Commercial
VULNERABLE: version not auto-detected — verify your deployed version locally
CVSS VECTOR BREAKDOWN 7.8
AV: L Attack Vector Local
AC: L Attack Complexity Low
PR: N Privileges Required None
UI: R User Interaction Required
S: U Scope Unchanged
C: H Confidentiality High
I: H Integrity High
A: H Availability High
7.8
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

This report details CVE-2026-48373, a high-severity Heap-based Buffer Overflow vulnerability in Adobe Acrobat Reader. The flaw allows an attacker to achieve arbitrary code execution in the context of the current user by convincing a victim to open a specially crafted, malicious file. The attack vector is local and requires user interaction, meaning the victim must open the file for exploitation to succeed.

The business impact is significant for any organization relying on Adobe Acrobat Reader for document processing, including legal, finance, government, and engineering sectors. The likely attacker profile includes threat actors who use spear-phishing campaigns to deliver weaponized documents, such as APT groups, ransomware operators, and cybercriminals. The CVSS score of 7.8 (High) reflects the severe impact on confidentiality, integrity, and availability, but the requirement for user interaction and local access reduces the overall attack surface. The EPSS probability of 0.0% indicates that, as of the publication date, there is no evidence of active exploitation in the wild, but this does not diminish the need for proactive patching and monitoring.

As of 2026-07-17, no official patch has been released by Adobe, and no public proof-of-concept or exploit code is available. This CVE is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog.

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›Exploit & PoC — poc_status, poc_url, has_exploit. Not in NVD.
›Shodan dorks — ready-made queries to find exposed vulnerable systems
›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
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CVSS Breakdown & Threat Level

The CVSS v3.1 base score is 7.8 (High). The vector string is CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H.

  • Attack Vector (AV): Local (L) - The attacker must have local access to the system or convince the user to open a file locally. The vulnerability is not exploitable over a network without user interaction.
  • Attack Complexity (AC): Low (L) - No special conditions or complex attack sequences are required. The attacker only needs to craft a malicious file.
  • Privileges Required (PR): None (N) - The attacker does not need any privileges to craft the malicious file or to trigger the vulnerability once the user opens it.
  • User Interaction (UI): Required (R) - The victim must open the malicious file for the exploit to succeed. This is a critical mitigating factor.
  • Scope (S): Unchanged (U) - The vulnerability affects only the vulnerable component (Acrobat Reader) and does not impact other resources or security domains.
  • Confidentiality (C): High (H) - Successful exploitation can lead to the disclosure of all files and data accessible to the user.
  • Integrity (I): High (H) - The attacker can modify or delete any data accessible to the user.
  • Availability (A): High (H) - The attacker can cause a complete denial of service or crash the application, potentially affecting system availability.

The EPSS (Exploit Prediction Scoring System) probability is 0.0% . This means that, based on historical data and current threat intelligence, there is no observed or predicted exploitation activity for this CVE in the wild. This is common for newly published vulnerabilities and does not indicate that exploitation is impossible; it simply reflects a lack of current evidence.

Compared to similar historical CVEs in Acrobat Reader (e.g., CVE-2023-21608, a heap buffer overflow with a CVSS of 7.8), this vulnerability shares the same attack vector and impact. The lack of a patch and public exploit makes it a potential target for future weaponization.

Technical Deep Dive & Attack Mechanics

CVE-2026-48373 is a Heap-based Buffer Overflow vulnerability. This class of vulnerability occurs when a program writes more data to a buffer allocated on the heap than the buffer can hold.

Step-by-step exploitation mechanics:

  1. Crafted File: The attacker creates a malicious PDF file (or other supported document format) containing specially crafted data structures. This data is designed to trigger a heap overflow when parsed by Acrobat Reader.
  2. Parsing Phase: When the victim opens the file, Acrobat Reader's parsing engine begins to process the document's internal objects (e.g., streams, cross-reference tables, or embedded JavaScript objects).
  3. Heap Allocation: During parsing, the application allocates a heap buffer to store a specific piece of data (e.g., a string, an array, or a compressed stream). The size of this allocation is calculated based on data within the file.
  4. Overflow Trigger: The attacker's crafted data causes the application to miscalculate the required buffer size, or to write data beyond the allocated boundary. For example, a length field in the file might be manipulated to be smaller than the actual data, leading to a write operation that overflows the heap buffer.
  5. Memory Corruption: The overflow corrupts adjacent heap metadata or other application data structures. This can include overwriting function pointers, virtual function tables (vtable), or other critical control flow data.
  6. Code Execution: By carefully controlling the overflowed data, the attacker can redirect the application's execution flow to arbitrary code. This is typically achieved by overwriting a function pointer that is later called by the application. The attacker's payload (shellcode) is often embedded within the malicious file itself.
  7. Post-Exploitation: Once arbitrary code execution is achieved in the context of the current user, the attacker can execute commands, install malware, exfiltrate data, or move laterally within the network.

Root Cause: The root cause is a lack of proper bounds checking when writing data to a heap buffer. The developer likely assumed the data size would not exceed the allocated buffer, or used an unsafe function (e.g., memcpy, strcpy, or a custom copy routine) without validating the length.

Attack Surface: The attack surface is the file parsing engine of Acrobat Reader. The vulnerability is triggered by opening a malicious file, making email attachments, web downloads, and shared drives the primary delivery vectors.

Pre-conditions:

  • The victim must have a vulnerable version of Acrobat Reader installed.
  • The victim must open the malicious file.
  • No special network access or authentication is required.

Why Standard Defenses May Fail:

  • Antivirus: Signature-based AV may not detect the exploit if it uses novel or obfuscated payloads.
  • ASLR/DEP: While these mitigations make exploitation harder, they are not foolproof. Attackers can use techniques like heap spraying or ROP (Return-Oriented Programming) to bypass them.
  • Sandboxing: If Acrobat Reader is running in a sandbox, the exploit may be contained. However, many older or default configurations do not use a robust sandbox.

Vulnerable vs. Patched Code Analysis

As no patch is available, a direct code comparison cannot be made. However, based on the vulnerability type, the following is a hypothetical analysis.

Vulnerable Code (Pseudocode):

void parseObject(char *inputData, int inputLength) {
    // Vulnerable: assumes the length field in the input is correct
    int bufferSize = inputData[0]; // Attacker controls this value
    char *buffer = (char*)malloc(bufferSize);
    // Vulnerable: no bounds check on the copy
    memcpy(buffer, inputData + 1, inputLength - 1);
    // ... process buffer
}

Patched Code (Hypothetical):

void parseObject(char *inputData, int inputLength) {
    int bufferSize = inputData[0];
    // Patched: validate the buffer size against the actual data length
    if (bufferSize > (inputLength - 1)) {
        // Handle error, reject the object
        return;
    }
    char *buffer = (char*)malloc(bufferSize);
    // Patched: only copy the amount of data that fits in the buffer
    memcpy(buffer, inputData + 1, bufferSize);
    // ... process buffer
}

What the Patch Changes: The patch would add a validation check to ensure the declared buffer size (bufferSize) does not exceed the actual available data (inputLength - 1). It would also ensure that the memcpy operation only copies bufferSize bytes, preventing an overflow.

Regression Considerations: A poorly implemented patch could introduce a denial-of-service condition by rejecting legitimate files that use a specific data structure. Thorough testing with a wide variety of PDF files is essential.

Timeline & Disclosure History

  • CVE Publication Date: 2026-07-17T20:17:21.290
  • Estimated Discovery: The vulnerability was likely discovered and reported to Adobe prior to the publication date. The exact discovery date is unknown.
  • Disclosure Process: The CVE was published by the CVE Numbering Authority (CNA) for Adobe. The details of the disclosure process (e.g., coordinated disclosure, finder credit) are not available in the provided data.
  • Known Exploitation in the Wild: No known active exploitation as of 2026-07-17.
  • CISA KEV Addition: This CVE is not listed in the CISA Known Exploited Vulnerabilities catalog.

Threat Intelligence Context

  • Threat Actor Profile: This vulnerability is attractive to a wide range of threat actors. APT groups and nation-state actors may use it in targeted spear-phishing campaigns against specific organizations (e.g., defense contractors, government agencies). Ransomware operators could weaponize it for initial access, using malicious PDFs as a delivery mechanism. Cybercriminals and script kiddies would likely use it if a public exploit becomes available.
  • Attack Campaign Context: There are no known campaigns specifically targeting this CVE as of the report date. However, heap buffer overflows in document readers are a historically favored technique for initial access.
  • Geographic Targeting: No specific geographic targeting patterns are known.
  • Industry Verticals Most at Risk: Any industry that heavily uses PDF documents is at risk. This includes Legal, Finance, Government, Healthcare, Engineering, and Education.
  • Connection to Similar Vulnerabilities: This vulnerability is part of a long history of heap buffer overflows in PDF readers (e.g., CVE-2023-21608, CVE-2021-28550). The attack mechanics are well-understood, and public exploit frameworks (like Metasploit) often contain modules for similar flaws.

Exploitation & Lab Setup

Red Team Section

Lab Setup:

  1. Environment: A Windows 10/11 virtual machine with a vulnerable version of Adobe Acrobat Reader installed.
  2. Tools:
    • A debugger (e.g., x64dbg, WinDbg) to analyze the crash.
    • A Python environment with libraries like pefile and struct for crafting the malicious file.
    • A web server or email client to deliver the file.
  3. Prerequisites: The target VM must have the vulnerable Acrobat Reader version. No special network configuration is needed.

Exploitation Walkthrough (Hypothetical):

  1. Craft the Malicious File: Using a Python script, create a PDF file that contains a malformed object designed to trigger the heap overflow. This involves manipulating internal PDF structures (e.g., a stream object with a corrupted Length field).
  2. Deliver the File: Send the file to the victim via email or host it on a website.
  3. Trigger the Vulnerability: The victim opens the file. Acrobat Reader parses the malformed object, triggering the heap overflow.
  4. Gain Code Execution: The overflow corrupts a function pointer. When the application calls that pointer, it redirects execution to the attacker's shellcode embedded in the PDF.
  5. Post-Exploitation: The shellcode executes a payload (e.g., a reverse shell, a keylogger, or a downloader).

Expected Output: Successful exploitation results in a calc.exe process spawning (a common test) or a reverse shell connection back to the attacker's machine.

Post-Exploitation: The attacker has code execution in the context of the user. They can then attempt to escalate privileges, move laterally, or exfiltrate data.

Blue Team Section

Detection:

  • Log Entries: Look for Acrobat Reader crashes (Event ID 1000 in Windows Application Event Log) with the faulting module being AcroRd32.exe or AcroCEF.exe. Frequent crashes may indicate exploitation attempts.
  • Network Traffic Signatures: After successful exploitation, look for outbound connections to unknown IP addresses on non-standard ports (e.g., 4444, 8080) from the Acrobat Reader process.
  • Endpoint Behavioral Indicators:
    • Acrobat Reader spawning child processes (e.g., cmd.exe, powershell.exe, rundll32.exe).
    • Unusual file writes to temporary directories (e.g., %TEMP%) by the Acrobat Reader process.
    • Modification of registry run keys by the Acrobat Reader process.

Indicators of Compromise (IOCs)

  • Network IOCs:
    • Outbound TCP connections from AcroRd32.exe to suspicious IP addresses on high-numbered ports.
    • DNS queries for domains associated with known C2 infrastructure.
  • HTTP Request Patterns: Not applicable, as the attack is file-based.
  • File System Artifacts:
    • Malicious PDF files with unusual structure (e.g., very large stream objects, corrupted cross-reference tables).
    • Dropped payloads in %TEMP% or %APPDATA% directories.
  • Process Execution Anomalies:
    • AcroRd32.exe spawning cmd.exe or powershell.exe.
    • AcroRd32.exe making outbound network connections.
  • Log Entries:
    • Windows Event ID 1000 (Application Error) with AcroRd32.exe as the faulting application.
    • Windows Event ID 4688 (Process Creation) showing AcroRd32.exe spawning a child process.

STIX-like IOC List:

Type Value Description
file malicious.pdf Malicious PDF file exploiting CVE-2026-48373
process AcroRd32.exe Vulnerable process
network-traffic TCP outbound to 192.0.2.10:4444 Potential C2 connection post-exploitation

Detection Engineering

YARA Rule

rule CVE-2026-48373_Detection {
    meta:
        description = "Detects exploitation of CVE-2026-48373 in Acrobat"
        author = "Valters IT Hub"
        date = "2026-07-17"
        reference = "https://www.valtersit.com/cve/cve-2026-48373"
    strings:
        $heap_overflow_pattern = { 48 8B 45 ?? 48 8B 4D ?? 48 8B 55 ?? 48 8B 75 ?? FF 15 ?? ?? ?? ?? } // Example: call to memcpy with potential overflow
        $suspicious_pdf_obj = "obj" // Look for malformed PDF objects
    condition:
        $heap_overflow_pattern or $suspicious_pdf_obj
}

Sigma Rule (SIEM)

title: CVE-2026-48373 Acrobat Exploitation Detection
id: 11111111-1111-1111-1111-111111111111
status: experimental
description: Detects exploitation attempts targeting CVE-2026-48373
author: Valters IT Hub
date: 2026-07-17
references:
    - https://www.valtersit.com/cve/cve-2026-48373
logsource:
    category: process_creation
    product: windows
detection:
    selection:
        ParentImage|endswith: '\AcroRd32.exe'
        Image|endswith:
            - '\cmd.exe'
            - '\powershell.exe'
            - '\rundll32.exe'
    condition: selection
falsepositives:
    - Legitimate administrative activity (e.g., Acrobat updating itself)
level: high

Suricata IDS Rule

alert tcp $HOME_NET any -> $EXTERNAL_NET $HTTP_PORTS (msg:"CVE-2026-48373 Potential Malicious PDF Download"; flow:to_server,established; content:"Content-Type|3a 20|application/pdf"; http_header; content:".pdf"; http_uri; classtype:attempted-user; sid:1000001; rev:1;)

Elastic (EQL) Query

process where event.type == "start" and
  process.parent.name == "AcroRd32.exe" and
  (process.name in ("cmd.exe", "powershell.exe", "rundll32.exe"))

Splunk SPL Query

index=windows EventCode=4688
| search ParentImage="*\\AcroRd32.exe" (Image="*\\cmd.exe" OR Image="*\\powershell.exe" OR Image="*\\rundll32.exe")
| table _time, ParentImage, Image, CommandLine

Wazuh Rule

<rule id="100001" level="12">
  <if_sid>4688</if_sid>
  <field name="win.eventdata.parentImage">\AcroRd32.exe</field>
  <field name="win.eventdata.image">\cmd.exe|\powershell.exe|\rundll32.exe</field>
  <description>CVE-2026-48373: Acrobat Reader spawned a suspicious child process</description>
  <group>cve_2026_48373,</group>
</rule>

Remediation & Mitigation

Immediate Actions (0-24 hours)

  • Patch: No patch is available. Monitor Adobe's security advisory page for updates.
  • Compensating Controls:
    • Disable JavaScript in Acrobat Reader: Go to Edit > Preferences > JavaScript and uncheck "Enable Acrobat JavaScript". This can mitigate some exploitation paths.
    • Enable Protected View: Go to Edit > Preferences > Security (Enhanced) and enable "Protected View" for files from potentially unsafe locations.
    • Use a PDF Reader Alternative: Temporarily switch to a different PDF reader (e.g., SumatraPDF, Foxit Reader) for untrusted documents.
  • Network-Level Mitigation: Block PDF file downloads from untrusted websites at the web proxy or email gateway.
  • User Awareness: Send an alert to all users warning them not to open PDF files from untrusted sources.

Short-term (1-7 days)

  • Configuration Hardening: Implement Group Policy Objects (GPO) to enforce the above security settings across the organization.
  • Monitoring Implementation: Deploy the detection rules (Sigma, YARA, Suricata) to monitor for exploitation attempts.
  • Vulnerability Scanning: Use a vulnerability scanner (e.g., Nessus, Qualys) to identify all systems with vulnerable Acrobat Reader versions.

Long-term

  • Architecture Changes: Implement application whitelisting (e.g., AppLocker) to prevent untrusted executables from running.
  • Security Control Improvements: Deploy a robust endpoint detection and response (EDR) solution with behavioral analysis capabilities.
  • Developer Training: If your organization develops software, ensure developers are trained on secure coding practices to prevent buffer overflows.

Validation

  • Patch Confirmation: Once a patch is released, verify the Acrobat Reader version by going to Help > About Adobe Acrobat Reader.
  • Vulnerability Scan: Run a vulnerability scan against the target systems to confirm the CVE is no longer detected.

References & Resources


Report generated by Valters IT Hub Neural Engine v25 | 2026-07-17 | https://www.valtersit.com/cve/cve-2026-48373

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2026-48373/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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