PDF malware analysis — malicious · 9b25847ffd429a03

MALICIOUS

PDF

48.7 KB Created: 2020-10-27 04:42:44 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-05

MD5: f389eace22e3ddb790f92ee8e12aee79 SHA-1: 3a1ece81c4dc34cd78d61f39ed2a561ea83c8f63 SHA-256: 9b25847ffd429a03513541b92cb497d29c98f01a395c7d5e3ab7fbe210dc0da1

174 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript T1203 Exploitation for Client Execution

The PDF contains embedded links that redirect to known malicious infrastructure, specifically identified by the 'PDF_MALICIOUS_REDIRECTOR_LINK' heuristic. The document body, though heavily obfuscated, contains a URL related to 'top up loan processing fee', suggesting a phishing or scam lure. The 'SE_CALLBACK_LURE' heuristic further supports a scam pretext. The presence of numerous external PDF links also indicates a link farm, a common tactic for SEO poisoning or distributing malicious content.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 5

PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK

PDF 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_FARM

Small 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.
Callback phishing phone lure medium SE_CALLBACK_LURE

Document asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) documents that carry no urgency or charge/dispute escalation.
Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL

The 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_URL

One 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/123?keyword=top+up+loan+processing+fee In PDF document text
- https://zinivopupo.weebly.com/uploads/1/3/4/3/134386920/5706080.pdfIn PDF document text
- https://sabadefupi.weebly.com/uploads/1/3/4/3/134345863/xibofosadurod.pdfIn PDF document text
- https://putigazabikikim.weebly.com/uploads/1/3/2/6/132682718/6454644.pdfIn PDF document text
- https://sazojowob.weebly.com/uploads/1/3/4/3/134351878/0e74be705186a9.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://s3.amazonaws.com/lezopobigeza/67543970974.pdfIn PDF document text
- https://s3.amazonaws.com/jezaxojipevu/92856610929.pdfIn PDF document text
- https://s3.amazonaws.com/fosalizuzu/bilateral_contract_definition.pdfIn PDF document text
- https://s3.amazonaws.com/fedufiporara/dujepufan.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/7e19c86c-a83b-4800-b464-f4a9dc1c1eae/92699706490.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b117492e-56cd-4023-9d95-92d6fe414cc0/81173187544.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0493/6119/1071/files/dallas_to_liberia_costa_rica.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0497/9038/6337/files/44611783767.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7877/9047/files/tefegavutov.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0492/7848/4636/files/urban_table_menu.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/68587491-9d29-4a40-9b32-4aa08deb3a70/tidexisirinemikufevawa.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/bdc4b19c-21f7-4024-bb6d-936be2d3dd6e/45665221931.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e489a3cc-2a60-4fcc-8532-fccd3a0ce00c/80974171678.pdfIn PDF document text
- http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
- http://purl.org/dc/elements/1.1/In PDF document text
- http://ns.adobe.com/pdf/1.3/In PDF document text
- http://ns.adobe.com/xap/1.0/In PDF document text
- http://ns.adobe.com/xap/1.0/mm/In PDF document text
- http://ns.adobe.com/xap/1.0/rights/In PDF document text
- http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 3

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`font_00_sfnt_off0000737b.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x737B	4936 bytes
SHA-256: `ec78f5af8e078313912786b4e5022e59fe3f977528bab5e79fe9b12d95b52c8a`
`font_01_sfnt_off00008447.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x8447	10320 bytes
SHA-256: `571b9cdfa8f30cc84beac26039aaa99907847d24a4d6521abcb1c6479b1971d4`
`font_02_sfnt_off0000a788.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xA788	4324 bytes
SHA-256: `ff5f0ef16caf3e97cd1984b3a03ea88e11eab8cf63d2ee006085a4b9995833f3`

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