poppler-utils PDFunite 0.41.0 PDF File XRef::getEntry buffer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.0 | $0-$5k | 0.00 |
Summary
A vulnerability was found in poppler-utils PDFunite 0.41.0. It has been rated as critical. The impacted element is the function XRef::getEntry of the component PDF File Handler. Performing a manipulation results in buffer overflow.
This vulnerability was named CVE-2018-25306. The attack may be initiated remotely. In addition, an exploit is available.
Details
A vulnerability was found in poppler-utils PDFunite 0.41.0. It has been classified as problematic. This affects the function XRef::getEntry of the component PDF File Handler. The manipulation with an unknown input leads to a buffer overflow vulnerability. CWE is classifying the issue as CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. This is going to have an impact on availability. The summary by CVE is:
PDFunite 0.41.0 contains a buffer overflow vulnerability that allows local attackers to crash the application by processing malformed PDF files during merge operations. Attackers can trigger a segmentation fault in the XRef::getEntry function within libpoppler by providing a specially crafted PDF file to the pdfunite utility.
The weakness was presented by Hamm3r.py as 44490. The advisory is shared at exploit-db.com. This vulnerability is uniquely identified as CVE-2018-25306 since 04/29/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known.
The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.2VulDB Meta Temp Score: 5.0
VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.2
CNA Vector (VulnCheck): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Buffer overflowCWE: CWE-120 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
04/29/2026 CVE reserved04/30/2026 Advisory disclosed
04/30/2026 VulDB entry created
04/30/2026 VulDB entry last update
Sources
Advisory: 44490Researcher: Hamm3r.py
Status: Not defined
CVE: CVE-2018-25306 (🔒)
GCVE (CVE): GCVE-0-2018-25306
GCVE (VulDB): GCVE-100-360213
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 04/30/2026 06:37Changes: 04/30/2026 06:37 (81)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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