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Optical Character Recognition Project

First CVE: Apr 15, 2005Active for: 21 yearsTotal CVEs: 4

The Optical Character Recognition Project maintains a focused library for text extraction from images, and despite its narrow product scope, it serves as a foundational component across document-processing pipelines and accessibility applications where memory safety is critical. Its vulnerability exposure centers on low-level buffer-management and integer-arithmetic flaws—including improper memory bounds restrictions, out-of-bounds writes, integer overflow, and use-after-free conditions—that are characteristic of image-parsing code operating on untrusted input. Current severity, exploitation activity, and exposure counts are shown alongside this summary.

FAUCET AI Generated
4
Total CVEs
More Total CVEs than 79% of tracked vendors
2.0
Avg CVEs / Product / Year
More Avg CVEs / Product / Year than 80% of tracked vendors
7.7
Avg CVSS Score
Higher Avg CVSS Score than 73% of tracked vendors
0.0%
In CISA KEV
Bottom 1%

Trends Over Time

The number and severity of CVEs published that impact products developed by Optical Character Recognition Project over time

Volume of CVEsAvg CVSS Base Score
First CVE
Apr 15, 2005
21 years ago
Most Recent CVE
Nov 17, 2021
1,710 days ago

Products(1 total)

Top CVEs

Signals from CVEs in this vendor scope (4 CVEs).

4 CVEs · Highest risk first

CVEPublishedCVSSRiskKEVExploit
CVE-2021-33481HIGH
A stack-based buffer overflow vulnerability was discovered in gocr through 0.53-20200802 in try_to_divide_boxes() in pgm2asc.c.
Nov 17, 20217.825NONO
CVE-2021-33479HIGH
A stack-based buffer overflow vulnerability was discovered in gocr through 0.53-20200802 in measure_pitch() in pgm2asc.c.
Nov 17, 20217.825NONO
CVE-2005-1141CRITICAL
Integer overflow in the readpgm function in pnm.c for GOCR 0.40, when using the netpbm library, allows remote attackers to execute arbitrary code via a PNM file with large width an
Apr 15, 20059.825NONO
CVE-2021-33480MEDIUM
An use-after-free vulnerability was discovered in gocr through 0.53-20200802 in context_correction() in pgm2asc.c.
Nov 17, 20215.520NONO
View all 4 CVEs →

CVE Severity & Scoring

Severity distribution of CVEs that affect this vendor's products4 CVEs
25%
50%
25%
Severity distribution among all CVEs352,294 CVEs
45%
40%
11%
MediumHighCritical
Attack Vector
Local3 (75.0%)
Network1 (25.0%)
Unknown0 (0.0%)
Physical0 (0.0%)
Adjacent Network0 (0.0%)
Attack Complexity
Low4 (100.0%)
High0 (0.0%)
Unknown0 (0.0%)
User Interaction
None1 (25.0%)
Unknown0 (0.0%)
Required3 (75.0%)
Privileges Required
Low0 (0.0%)
High0 (0.0%)
None4 (100.0%)
Unknown0 (0.0%)

Exploit Exposure

Signals from CVEs in this vendor scope (4 CVEs).

CISA KEV
0 CVEs
0.0% of CVEs· Bottom 1%
Metasploit
0 CVEs
0.0% of CVEs· Bottom 1%
Nuclei
0 CVEs
0.0% of CVEs· Bottom 1%
ExploitDB
0 CVEs
0.0% of CVEs· Bottom 1%

Social Chatter

An overview of all social media posts that mention a CVE ID that affects a product developed by Optical Character Recognition Project.

Media Mentions

Media articles that mention a CVE ID that affects a product developed by Optical Character Recognition Project — matched by CVE ID, not by vendor name.

Top CNAs Publishing CVEs For Optical Character Recognition Project's Products

View all 2 CNAs →

Top CWEs