IrfanView 4.44 on 32-bit PDF Plugin PDF File memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in IrfanView 4.44 on 32-bit. This impacts an unknown function of the component PDF Plugin. Performing a manipulation as part of PDF File results in memory corruption. This vulnerability is reported as CVE-2017-15252. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability, which was classified as critical, was found in IrfanView 4.44 on 32-bit (Image Processing Software). This affects an unknown functionality of the component PDF Plugin. The manipulation as part of a PDF File leads to a memory corruption vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
IrfanView version 4.44 (32bit) with PDF plugin version 4.43 allows attackers to execute arbitrary code or cause a denial of service via a crafted .pdf file, related to a "Read Access Violation on Block Data Move starting at PDF!xmlListWalk+0x00000000000158cb."
The bug was discovered 10/12/2017. The weakness was disclosed 10/11/2017 (Website). It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2017-15252 since 10/11/2017. 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. The technical details are unknown and an exploit is not publicly available.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The entries VDB-107791, VDB-107790, VDB-107789 and VDB-107788 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
Website
- Product: https://www.irfanview.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.0VulDB Meta Temp Score: 7.0
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 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 |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
10/11/2017 🔍10/11/2017 🔍
10/11/2017 🔍
10/12/2017 🔍
10/12/2017 🔍
11/24/2019 🔍
Sources
Product: irfanview.comAdvisory: github.com
Status: Not defined
CVE: CVE-2017-15252 (🔍)
GCVE (CVE): GCVE-0-2017-15252
GCVE (VulDB): GCVE-100-107787
See also: 🔍
Entry
Created: 10/12/2017 10:34Updated: 11/24/2019 10:25
Changes: 10/12/2017 10:34 (58), 11/24/2019 10:25 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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