Foo Labs Xpdf 4.00 JPXStream.cc readTilePartData memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.9 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Foo Labs Xpdf 4.00. It has been rated as critical. Affected by this vulnerability is the function JPXStream::readTilePartData of the file JPXStream.cc. This manipulation causes memory corruption.
The identification of this vulnerability is CVE-2018-8106. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability classified as critical was found in Foo Labs Xpdf 4.00 (Document Reader Software). Affected by this vulnerability is the function JPXStream::readTilePartData of the file JPXStream.cc. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
The JPXStream::readTilePartData function in JPXStream.cc in xpdf 4.00 allows attackers to launch denial of service (heap-based buffer over-read and application crash) via a specific pdf file, as demonstrated by pdftohtml.
The bug was discovered 02/22/2018. The weakness was shared 03/14/2018 (Website). It is possible to read the advisory at forum.xpdfreader.com. This vulnerability is known as CVE-2018-8106 since 03/13/2018. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability was handled as a non-public zero-day exploit for at least 19 days. During that time the estimated underground price was around $0-$5k. The vulnerability scanner Nessus provides a plugin with the ID 232034 (Linux Distros Unpatched Vulnerability : CVE-2018-8106), which helps to determine the existence of the flaw in a target environment.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at Tenable (232034). The entries VDB-114493, VDB-114494, VDB-114495 and VDB-114496 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 232034
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2018-8106
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
02/22/2018 🔍03/13/2018 🔍
03/13/2018 🔍
03/14/2018 🔍
03/14/2018 🔍
03/07/2025 🔍
Sources
Advisory: forum.xpdfreader.comStatus: Not defined
CVE: CVE-2018-8106 (🔍)
GCVE (CVE): GCVE-0-2018-8106
GCVE (VulDB): GCVE-100-114499
See also: 🔍
Entry
Created: 03/14/2018 09:40Updated: 03/07/2025 11:26
Changes: 03/14/2018 09:40 (59), 06/17/2020 18:00 (1), 03/07/2025 11:26 (17)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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