MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains embedded links that redirect to malicious infrastructure, specifically identified by the 'PDF_MALICIOUS_REDIRECTOR_LINK' heuristic. The document body and embedded links suggest a lure related to a 'resignation letter teacher pdf', aiming to trick users into clicking malicious URLs. The ML classifier strongly flagged this PDF as malicious, supporting the assessment of a phishing or malware distribution attempt.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
-
PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
-
Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
-
Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTALThe same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
-
Embedded URL info EMBEDDED_URLOne or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.URL https://ttraff.com/wb?keyword=resignation%20letter%20teacher%20pdf
- http://dapupe.thesocialprof.com/uploads/1/3/0/7/130738764/f378a3130b.pdf
- https://cdn.shopify.com/s/files/1/0432/4245/5195/files/dekinigebut.pdf
- https://cdn.shopify.com/s/files/1/0436/5346/4214/files/lopotiwizunoj.pdf
- https://cdn.shopify.com/s/files/1/0431/7259/3832/files/best_anime_films.pdf
- https://cdn.shopify.com/s/files/1/0433/5045/8520/files/96051604878.pdf
- https://cdn.shopify.com/s/files/1/0437/6569/4613/files/91114621828.pdf
- https://cdn.shopify.com/s/files/1/0431/8353/8331/files/wixunoxelipefavonolowoki.pdf
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/berujixawajibexuxutuzogar.pdf
- https://cdn.shopify.com/s/files/1/0440/7286/1848/files/polipiragaliwonubuziwapi.pdf
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/xap/1.0/rights/
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005d5d.binbdef7d06b705365638bbbf67a484ce68dd0483ae98dbb1ff05dffbbe90a51265 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5D5D | 5424 bytes |
font_01_sfnt_off00006fc6.bin4294038e36e248abd3782d746f4934e8cd1dee1c4c2fe26750f0a642d9ea24d2 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6FC6 | 9856 bytes |
Open this report in the interactive analyzer, or submit your own file for analysis.